Relevant bibliographies by topics / Dynamic processes in machines

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Dynamic processes in machines'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Dynamic processes in machines"

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Ivshin, Igor Vladimirovich, Andrey Michailovich Kopylov, and Alfred Robertovich Safin. "Numerical Modeling of Dynamic Processes of the Reciprocating Reversible Electrical Machine." Applied Mechanics and Materials 792 (September 2015): 134–42. http://dx.doi.org/10.4028/www.scientific.net/amm.792.134.

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Now rotational electrical machines are used mainly for the implementation a reciprocating motion of working mechanisms and also as the electric generators powered by internal combustion engines. It is achieved by means of the kinematic transfers complicating a design and reducing the drive efficiency. The use of linear reciprocating electric machines allows to eliminate these defects. It should be noted that the most effective ones are the cylindrical designs of reciprocating electric machines with permanent magnets, whose efficiency reaches 93 – 95%. However, the rarity and lack of a mass production of this machine type and special recommendations for their design causes the need of research, directed on search of optimum constructive decisions. The article describes the types of linear electrical machines and summarizes the results of numerical modeling of dynamic characteristics for the three versions of the reciprocating cylindrical machine with permanent magnets of 10 kW with the oscillation frequency of the translator 20 Hz and the length of operating cycle of 120 mm. The most effective design parameters of linear electric machine were determined on the basis of its specific characteristics and analysis of the EMF graphics shape, appearing on the stator windings in the generator mode.
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Kuklina, Irina Gennadevna. "AUTOMATION OF DESIGN PROCESSES WHEN CREATING AND OPERATING SPECIAL CARS." Computational nanotechnology 6, no. 4 (December 30, 2019): 9–17. http://dx.doi.org/10.33693/2313-223x-2019-6-4-9-17.

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The fundamental task of the modern engineer-creator of specialized automotive equipment (the study examines cross- country vehicles and equipment for the construction and maintenance of roads) is a competent and high-performance application of modern information technologies, as noted in the Government Decree of 2014 . The author of the article proposed a structured set of application of object-oriented information methodologies for solving problems of calculation and visualization when creating highly reliable vehicles equipped with long screw rotors . The methodologies of automation and computerization of design processes in calculating the dynamics of a machine (the creation of a competent design of vibration damping in automotive vehicles is one of the most important tasks of car builders) were considered and proposed at the end of the last and the beginning of the modern century by leading foreign and Russian authors [4, p. 53].Snow and swamp vehicles - so often called rotor-screw machines are equipped with long screw rotors [6, p. 23], the use of which significantly increases the cross-country ability of the machine [7, p. 135], but also increases the vibrational loads on the operator and passengers of the all-terrain vehicle. The creation of a methodology for calculating the oscillatory processes of these machines is devoted to the works of famous scientists of Russia . The proposed surveys are devoted to the use of modern information technologies to increase the speed and quality characteristics of calculation processes when creating comfortable and reliable special vehicles with rotary thrusters. Calculation programs are accompanied by video playback of machine units.The article proposes an original object-oriented system for studying dynamic vibration loading of machines with linear contact between the supporting surface and the propulsion. It is the uniqueness of rotor-screw machines that creates difficult conditions for the design engineers of these machines. Automation of complex calculations of the oscillatory system of these machines is an important task for Russian designers.
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Alimkhodjaev, Kamoliddin, Murakam Mirsaidov, Malika Khalikova, and Jasurbek Nizamov. "Transient processes of vibration machines with inertial electric drives." E3S Web of Conferences 216 (2020): 01121. http://dx.doi.org/10.1051/e3sconf/202021601121.

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In order to conduct model experimental studies of the mutual influence of electromagnetic and mechanical transient processes of starting up inertial vibration drives with an asynchronous motor, its mathematical model is being developed. The analytical dependence of the dynamic mechanical characteristics of the vibrator at various values of the rotor acceleration is determined. The mathematical model uses the dynamic mechanical characteristics of an induction motor as a torque.
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Agarwal, Praveen, Amandeep Singh, and Adem Kilicman. "Development of key-dependent dynamic S-Boxes with dynamic irreducible polynomial and affine constant." Advances in Mechanical Engineering 10, no. 7 (July 2018): 168781401878163. http://dx.doi.org/10.1177/1687814018781638.

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In recent years, the need to develop advanced information technology systems in the area of mechanical engineering has been growing continuously to deliver better product quality at reduced cost. Embedding the electronics and software with machines transform them into smart machines sophistically called mechatronic. These software-oriented machines collect big data using sensors and other electronics and share among other smart machines, which further helps them in controlling the manufacturing processes, decision-making, and even in maintenance. Machine-to-machine sharing of data involves the risk of data stealing or modification, which may further disrupt the working of manufacturing process and leads to poor quality product. For data security, block ciphers like advanced encryption standard are needed. Advanced encryption standard is an encryption algorithm which is widely used to provide security to sensitive information by organizations. The main core of advanced encryption standard is its non-liner component that is S-Box, which is also called substitution table. The S-Box provides confusion capabilities in algorithm. The point of interest for cryptanalysis and hackers is S-Box, which is fixed in case of advanced encryption standard. Cryptanalysis and hackers exploit this weakness of advanced encryption standard. Many researchers tried to modify S-Box using different techniques. In this article, we tried to create dynamic S-Boxes which are key-dependent and, at the same time, they are using dynamic irreducible polynomial and affine constant.
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Tverdokhlib, Igor, and Oleg Omelyanov. "CURRENT STATE OF SCIENTIFIC AND TECHNICAL DEVELOPMENTS IN THE FIELD OF IMPROVING THE EFFICIENCY OF VIBRATION EQUIPMENT AND TECHNOLOGIES." ENGINEERING, ENERGY, TRANSPORT AIC, no. 3(114) (September 28, 2021): 75–90. http://dx.doi.org/10.37128/2520-6168-2021-3-9.

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The article considers the state of scientific and technical developments in the field of improving the efficiency of vibration technology. Production activity in most branches of industrial production is provided by the work of various technological machines and vehicles. The operation of machines, equipment, mechanisms, apparatus and devices in the conditions of the need to ensure high productivity is often accompanied by significant dynamic loads, vibration processes and manifestations of shock interactions of machine elements. Ensuring the reliability and safety of machines requires at all stages of their life cycle serious attention to compliance with certain restrictions on the parameters of the dynamic state of technical objects, the development of methods and means of assessing control and management of dynamic interactions. Modern mechanical engineering is a scientific basis for solving the main problems of machine dynamics, which, in general, is based on scientific potential created by domestic and foreign scientists in the field of theoretical and applied mechanics, theory of mechanisms, dynamics and strength of machines, development of scientific directions in automatic control theory. applied system synthesis, etc. The results of scientific research are reflected in the works of famous scientists. The formed practice of pre-design researches of the created machines, the equipment and the equipment is based on wide use of means of mathematical modeling, application of means of computer engineering. The choice of equipment in production is based on cost, productivity, size, energy consumption, etc. In this regard, there is a question of the need to find and develop new approaches, methods and means to ensure the efficiency and reliability of technological machines and equipment.
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Woźniak, Adam, and Grzegorz Krajewski. "CMM Dynamic Properties of the Scanning Measurement of a 2D Profile." International Journal of Automation Technology 9, no. 5 (September 5, 2015): 530–33. http://dx.doi.org/10.20965/ijat.2015.p0530.

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Scanning probe CMMs have come to be considered the standard in coordinate metrology, not only because they provide high-quantity, high-speed data gathering but also because the scanning technology significantly decreases inspection time. Modern manufacturing, especially in today’s highly competitive economy, requires increasingly efficient measuring machines and processes because inspection machines have often become the bottlenecks in the entire manufacturing processes. More efficient coordinate metrology can mean faster measurement cycles with acceptable accuracies. However, increasing scanning speeds has also significantly increased errors. This article proposes a new method of investigating and identifying the principal components of CMM dynamic errors. The principle of the method is presented, and the validity of the method is experimentally confirmed on a bridge coordinate measuring machine.
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Grischenko, Volodimir Mikolayovich, and Kateryna Serhiivna Leonova. "Application of computer systems for modeling dynamic processes of lifting machines." Bulletin of the National Technical University «KhPI» Series: Dynamics and Strength of Machines, no. 2 (December 31, 2021): 69–77. http://dx.doi.org/10.20998/2078-9130.2021.2.249498.

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The main task of mechanical engineering is to organize the production of a range of machines to meet the needs of all industries. These are power, transport, lifting and transport units, agricultural machinery, construction industry, etc. Among them, one can single out devices in which the relative movement of their parts is assigned, that is, kinematic pairs are included in the calculation models. The real operating conditions of machines are varied, but most often they are associated with periodic starts-stops, which determines the relevance of the study of unsteady modes. The analysis of the operation of such models becomes more complicated. For successful design results, mathematical modeling of individual processes in mechanisms is carried out. One of the first calculations is dynamic. Modern, available CAD / CAE systems for modeling and analysis provide automation capabilities, building more realistic design models. The paper discusses the approbation of the use of CAD for modeling the dynamics of a jib crane with a set of four units: platform, boom, sleeve and rod. The developed model is combined: the platform and the sleeve correspond to the kinetostatic model, and the boom and rod are elastic. The crane is designed to perform lifting operations in a vertical plane, with the possibility of relative movement in 3 rotational and one translational kinematic pairs. The performed calculations of the static, modal and dynamic analyzes of the links of the mechanism confirm the adequacy of their models. Among them is the task of instantaneous load application, which is typical for the "lifting and picking" operating mode of crane lifting mechanisms. The deformation of the entire structure in one of the boom positions is also considered. The determination of the reaction forces in the hydraulic cylinder provides important information for the selection of the power unit.
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Nesmiyan, Andrey, Lyudmila Kravchenko, Vladimir Khizhnyak, and Elena Zubrilina. "Probabilistic modeling for dynamic processes." E3S Web of Conferences 175 (2020): 05019. http://dx.doi.org/10.1051/e3sconf/202017505019.

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The probability of event occurrence can be determined by calculation, however for complex processes, accounting for multiple states is so complex that the probability of the final event cannot be determined differently than by collecting statistical data. This reduces the ability to predict outcomes in any process simulation, which affects the quality of advanced systems. The development of methods for predicting the probability of occurrence of an event when considering complex dynamic processes is a pressing task, the solution of which will help to improve the quality of modeling of technological processes and, as a result, to increase the efficiency of designing machines implementing them. The authors proposed a probability modeling method for dynamic processes, which is a special way of applying probability theory and is workable if the change in the parameters analyzed corresponds to the normal law of distribution. A study carried out on the analysis of the process of sowing corn seeds by vacuum sowing made it possible to predict with reliability more than 95% the probability of formation of “zero seed fodders” depending on their physical and mechanical properties, as well as parameters and adjustment modes of operation of the device.
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Nikitina, I., and A. Polyakov. "SPECIFIC FEATURES OF THERMAL PROCESSES IN DOUBLE-SIDED FACE GRINDING MACHINES." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 6, no. 1 (February 4, 2021): 82–94. http://dx.doi.org/10.34031/2071-7318-2021-6-1-82-94.

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The paper presents an analysis of thermal processes in the bearing system of a double-sided face grinding machine. Experimental data on temperatures and displacements obtained when the machine is idling and when imitating the grinding process with the help of electric heaters of various powers are used for analysis. The performed studies have shown that thermal deformations of double-sided face grinding machines with an arc trajectory of workpiece feed occur in a wide range in magnitude and direction. It can violate the main requirement for the precise operation of the machine - the symmetry of processing conditions at both ends of the workpiece. From the experiments, the absolute value of the non-parallelism of the grinding wheels after three hours of operation is established; it is almost twice the value of the removed allowance. Analysis of the kinetic change in the deformations of the supporting system of the machine tool during operation under thermal load shows that as it warms up, the relative position of the grinding wheels gradually changes from the state "wider at the bottom" to the state "narrower below". This leads to a spontaneous change in the dynamic tuning of the technological system and a corresponding change in the processing accuracy. Changes in the dynamic tuning of the technological system with varying intensity continue throughout the entire operating time of the machine.
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Chen, Shuxian, Zongqiang Ren, Xikai Yu, and Ao Huang. "A Dynamic Model of Evolutionary Knowledge and Capabilities Based on Human-Machine Interaction in Smart Manufactures." Computational Intelligence and Neuroscience 2022 (April 26, 2022): 1–10. http://dx.doi.org/10.1155/2022/8584888.

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The increasing use of smart machines and devices is not only changing production principles but also reshaping the value of cocreation logic. The interaction between human and smart machine is the enabler of generating augmented intelligence. A system dynamics model is abstracted from smart manufacturing practices to represent the evolutionary processes of inertia, capability, and reliability induced by human-machine interaction. Human-machine interaction is conceptualized into two dimensions: technical and cognitive interaction. Simulation experiments illustrate how the improvement of human-machine interaction can leverage the dynamic capability and reduce the inertia in enterprises through multiple nonlinear feedbacks. There are two pathways to improve reliability and performance in enterprises by human-machine interaction: (1) to promote initiative innovation (change) from endogenous enabler by improving dynamic capability and (2) to promote transformation of knowledge and variation triggered by exogenous environmental changes to improve the dynamic capability for the flexibility and reliability.
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Dissertations / Theses on the topic "Dynamic processes in machines"

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Gupta, Sujasha. "Development and Utilization of a Novel Synaptic Transistor to Detect Dynamic Neuronal Processes." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1590765716831174.

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Zang, Peng. "Scaling solutions to Markov Decision Problems." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42906.

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The Markov Decision Problem (MDP) is a widely applied mathematical model useful for describing a wide array of real world decision problems ranging from navigation to scheduling to robotics. Existing methods for solving MDPs scale poorly when applied to large domains where there are many components and factors to consider. In this dissertation, I study the use of non-tabular representations and human input as scaling techniques. I will show that the joint approach has desirable optimality and convergence guarantees, and demonstrates several orders of magnitude speedup over conventional tabular methods. Empirical studies of speedup were performed using several domains including a clone of the classic video game, Super Mario Bros. In the course of this work, I will address several issues including: how approximate representations can be used without losing convergence and optimality properties, how human input can be solicited to maximize speedup and user engagement, and how that input should be used so as to insulate against possible errors.
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Deb, Abhishek. "HW/SW mechanisms for instruction fusion, issue and commit in modern u-processors." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/81561.

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In this thesis we have explored the co-designed paradigm to show alternative processor design points. Specifically, we have provided HW/SW mechanisms for instruction fusion, issue and commit for modern processors. We have implemented a co-designed virtual machine monitor that binary translates x86 instructions into RISC like micro-ops. Moreover, the translations are stored as superblocks, which are a trace of basic blocks. These superblocks are further optimized using speculative and non-speculative optimizations. Hardware mechanisms exists in-order to take corrective action in case of misspeculations. During the course of this PhD we have made following contributions. Firstly, we have provided a novel Programmable Functional unit, in-order to speed up general-purpose applications. The PFU consists of a grid of functional units, similar to CCA, and a distributed internal register file. The inputs of the macro-op are brought from the Physical Register File to the internal register file using a set of moves and a set of loads. A macro-op fusion algorithm fuses micro-ops at runtime. The fusion algorithm is based on a scheduling step that indicates whether the current fused instruction is beneficial or not. The micro-ops corresponding to the macro-ops are stored as control signals in a configuration. The macro-op consists of a configuration ID which helps in locating the configurations. A small configuration cache is present inside the Programmable Functional unit, that holds these configurations. In case of a miss in the configuration cache configurations are loaded from I-Cache. Moreover, in-order to support bulk commit of atomic superblocks that are larger than the ROB we have proposed a speculative commit mechanism. For this we have proposed a Speculative commit register map table that holds the mappings of the speculatively committed instructions. When all the instructions of the superblock have committed the speculative state is copied to Backend Register Rename Table. Secondly, we proposed a co-designed in-order processor with with two kinds of accelerators. These FU based accelerators run a pair of fused instructions. We have considered two kinds of instruction fusion. First, we fused a pair of independent loads together into vector loads and execute them on vector load units. For the second kind of instruction fusion we have fused a pair of dependent simple ALU instructions and execute them in Interlock Collapsing ALUs (ICALU). Moreover, we have evaluated performance of various code optimizations such as list-scheduling, load-store telescoping and load hoisting among others. We have compared our co-designed processor with small instruction window out-of-order processors. Thirdly, we have proposed a co-designed out-of-order processor. Specifically we have reduced complexity in two areas. First of all, we have co-designed the commit mechanism, that enable bulk commit of atomic superblocks. In this solution we got rid of the conventional ROB, instead we introduce the Superblock Ordering Buffer (SOB). SOB ensures program order is maintained at the granularity of the superblock, by bulk committing the program state. The program state consists of the register state and the memory state. The register state is held in a per superblock register map table, whereas the memory state is held in gated store buffer and updated in bulk. Furthermore, we have tackled the complexity of Out-of-Order issue logic by using FIFOs. We have proposed an enhanced steering heuristic that fixes the inefficiencies of the existing dependence-based heuristic. Moreover, a mechanism to release the FIFO entries earlier is also proposed that further improves the performance of the steering heuristic.
En aquesta tesis hem explorat el paradigma de les màquines issue i commit per processadors actuals. Hem implementat una màquina virtual que tradueix binaris x86 a micro-ops de tipus RISC. Aquestes traduccions es guarden com a superblocks, que en realitat no és més que una traça de virtuals co-dissenyades. En particular, hem proposat mecanismes hw/sw per a la fusió d’instruccions, blocs bàsics. Aquests superblocks s’optimitzen utilitzant optimizacions especualtives i d’altres no speculatives. En cas de les optimizations especulatives es consideren mecanismes per a la gestió de errades en l’especulació. Al llarg d’aquesta tesis s’han fet les següents contribucions: Primer, hem proposat una nova unitat functional programmable (PFU) per tal de millorar l’execució d’aplicacions de proposit general. La PFU està formada per un conjunt d’unitats funcionals, similar al CCA, amb un banc de registres intern a la PFU distribuït a les unitats funcionals que la composen. Les entrades de la macro-operació que s’executa en la PFU es mouen del banc de registres físic convencional al intern fent servir un conjunt de moves i loads. Un algorisme de fusió combina més micro-operacions en temps d’execució. Aquest algorisme es basa en un pas de planificació que mesura el benefici de les decisions de fusió. Les micro operacions corresponents a la macro operació s’emmagatzemen com a senyals de control en una configuració. Les macro-operacions tenen associat un identificador de configuració que ajuda a localitzar d’aquestes. Una petita cache de configuracions està present dintre de la PFU per tal de guardar-les. En cas de que la configuració no estigui a la cache, les configuracions es carreguen de la cache d’instruccions. Per altre banda, per tal de donar support al commit atòmic dels superblocks que sobrepassen el tamany del ROB s’ha proposat un mecanisme de commit especulatiu. Per aquest mecanisme hem proposat una taula de mapeig especulativa dels registres, que es copia a la taula no especulativa quan totes les instruccions del superblock han comitejat. Segon, hem proposat un processador en order co-dissenyat que combina dos tipus d’acceleradors. Aquests acceleradors executen un parell d’instruccions fusionades. S’han considerat dos tipus de fusió d’instructions. Primer, combinem un parell de loads independents formant loads vectorials i els executem en una unitat vectorial. Segon, fusionem parells d’instruccions simples d’alu que són dependents i que s’executaran en una Interlock Collapsing ALU (ICALU). Per altra aquestes tecniques les hem evaluat conjuntament amb diverses optimizacions com list scheduling, load-store telescoping i hoisting de loads, entre d’altres. Aquesta proposta ha estat comparada amb un processador fora d’ordre. Tercer, hem proposat un processador fora d’ordre co-dissenyat efficient reduint-ne la complexitat en dos areas principals. En primer lloc, hem co-disenyat el mecanisme de commit per tal de permetre un eficient commit atòmic del superblocks. En aquesta solució hem substituït el ROB convencional, i en lloc hem introduït el Superblock Ordering Buffer (SOB). El SOB manté l’odre de programa a granularitat de superblock. L’estat del programa consisteix en registres i memòria. L’estat dels registres es manté en una taula per superblock, mentre que l’estat de memòria es guarda en un buffer i s’actulitza atòmicament. La segona gran area de reducció de complexitat considerarada és l’ús de FIFOs a la lògica d’issue. En aquest últim àmbit hem proposat una heurística de distribució que solventa les ineficiències de l’heurística basada en dependències anteriorment proposada. Finalment, i junt amb les FIFOs, s’ha proposat un mecanisme per alliberar les entrades de la FIFO anticipadament.
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Ковальов, Сергій Федорович, Сергей Федорович Ковалев, Serhii Fedorovych Kovalov, Михайло Сергійович Овчаренко, Михаил Сергеевич Овчаренко, Mykhailo Serhiiovych Ovcharenko, Андрій Анатолійович Папченко, Андрей Анатольевич Папченко, Andrii Anatoliiovych Papchenko, and Ю. О. Видиш. "Розроблення та дослідження роторно-динамічного агрегата-гомогенізатора для технології виробництва згущеного молока." Thesis, Сумський державний університет, 2016. http://essuir.sumdu.edu.ua/handle/123456789/45621.

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В даний час через підвищення цін на енергоносії та сировину особливо гостро постало завдання створення технологічного обладнання з низькими питомими енерговитратами на проведення різних технологічних процесів і одночасним підвищенням якості виробленої продукції. До такого устаткування в повній мірі можна віднести роторно-динамічні агрегати- гомогенізатори.
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Hall, Otto. "Inference of buffer queue times in data processing systems using Gaussian Processes : An introduction to latency prediction for dynamic software optimization in high-end trading systems." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214791.

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This study investigates whether Gaussian Process Regression can be applied to evaluate buffer queue times in large scale data processing systems. It is additionally considered whether high-frequency data stream rates can be generalized into a small subset of the sample space. With the aim of providing basis for dynamic software optimization, a promising foundation for continued research is introduced. The study is intended to contribute to Direct Market Access financial trading systems which processes immense amounts of market data daily. Due to certain limitations, we shoulder a naïve approach and model latencies as a function of only data throughput in eight small historical intervals. The training and test sets are represented from raw market data, and we resort to pruning operations to shrink the datasets by a factor of approximately 0.0005 in order to achieve computational feasibility. We further consider four different implementations of Gaussian Process Regression. The resulting algorithms perform well on pruned datasets, with an average R2 statistic of 0.8399 over six test sets of approximately equal size as the training set. Testing on non-pruned datasets indicate shortcomings from the generalization procedure, where input vectors corresponding to low-latency target values are associated with less accuracy. We conclude that depending on application, the shortcomings may be make the model intractable. However for the purposes of this study it is found that buffer queue times can indeed be modelled by regression algorithms. We discuss several methods for improvements, both in regards to pruning procedures and Gaussian Processes, and open up for promising continued research.
Denna studie undersöker huruvida Gaussian Process Regression kan appliceras för att utvärdera buffer-kötider i storskaliga dataprocesseringssystem. Dessutom utforskas ifall dataströmsfrekvenser kan generaliseras till en liten delmängd av utfallsrymden. Medmålet att erhålla en grund för dynamisk mjukvaruoptimering introduceras en lovandestartpunkt för fortsatt forskning. Studien riktas mot Direct Market Access system för handel på finansiella marknader, somprocesserar enorma mängder marknadsdata dagligen. På grund av vissa begränsningar axlas ett naivt tillvägagångssätt och väntetider modelleras som en funktion av enbartdatagenomströmning i åtta små historiska tidsinterval. Tränings- och testdataset representeras från ren marknadsdata och pruning-tekniker används för att krympa dataseten med en ungefärlig faktor om 0.0005, för att uppnå beräkningsmässig genomförbarhet. Vidare tas fyra olika implementationer av Gaussian Process Regression i beaktning. De resulterande algorithmerna presterar bra på krympta dataset, med en medel R2 statisticpå 0.8399 över sex testdataset, alla av ungefär samma storlek som träningsdatasetet. Tester på icke krympta dataset indikerar vissa brister från pruning, där input vektorermotsvararande låga latenstider är associerade med mindre exakthet. Slutsatsen dras att beroende på applikation kan dessa brister göra modellen obrukbar. För studiens syftefinnes emellertid att latenstider kan sannerligen modelleras av regressionsalgoritmer. Slutligen diskuteras metoder för förbättrning med hänsyn till både pruning och GaussianProcess Regression, och det öppnas upp för lovande vidare forskning.
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Костенко, Юрий Викторович. "Анализ параметров динамических процессов в виброударных машинах с изменяющимися массово-жесткостными характеристиками." Thesis, НТУ "ХПИ", 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/19912.

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Диссертация на соискание научной степени кандидата технических наук по специальности 05.02.09 – динамика и прочность машин. – Национальный технический университет "Харьковский политехнический институт", Харьков, 2016. Диссертация посвящена разработке подходов, методов и моделей для исследования динамических процессов в виброударных системах с учетом изменяемой во времени массы технологического груза и нелинейной жесткости упругих опор. В данной работе изложен новый подход к учету влияния переменной массы технологического груза на характер динамических процессов в виброударной системе. Разработаны и предложены зависимости, математические модели, которые описывают характер изменения массы технологического груза во времени, как на основе экспериментальных исследований (эмпирический закон), так и в зависимости от количества диссипированной энергии. Установлено, что вследствии нелинейности жесткости упругих опор и в зависимости от их конструктивного исполнения, становится возможной реализация субгармонических режимов, что приводит к росту силы ударного взаимодействия. Для оценки влияния параметров упругих опор (варианты конструктивного исполнения, жесткость пружин) проведены многовариантные исследования, по результатам которых выделены характерные субгармонические режимы и их характеристики (фазовые портреты, временные распределения). Установлена степень влияния изменения различных параметров упругих опор на характер колебательного процесса в ходе их многовариантного варьирования. На базе корпуса усовершенствованной вибромашины, функционирующей в составе автоматизированной линии для выбивки крупного вагонного литья, проведен натурный эксперимент с целью подтверждения точности и адекватности полученных ранее результатов численных исследований.
The thesis on competition of a scientific degree of Candidate of technical Science on a specialty 05.02.09 – dynamic and strength of machines. – National Technical University "Kharkiv polytechnical institute", Kharkiv, 2016. This thesis is devoted to the development of approaches, methods and models for investigation of dynamic processes in vibroimpact systems with variable mass of the weight and nonlinear rigidness of elastic supports. In this paper new approach to the accounting of the variable mass influence on the character of dynamical processes in vibroimpact systems was presented. The dependences, that describes the mass change character, based on experimental researches and dependence from dissipated energy were proposed. It was found that the realization of sybharmonical modes became possible because of elastic supports nonlinearity and design features. The realization of subharmonical modes lead to growth of impact interaction force. The approach, based on corresponding values for phase variables at the beginning and the end of period was proposed to periodic solutions search. The criteria for tuning from resonance frequencies that can appear on perturbing force with multiple (partite) frequency were formulated. The machine body designed with taking to the account previously formulated recommen-dations was created. The investigation of stress-strain status was performed and found that improved machine body satisfies strength requirements. The comparison of numerical and experimental data was done. The accuracy and authenticity of numerical investigations was confirmed.
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Костенко, Юрій Вікторович. "Аналіз параметрів динамічних процесів у віброударних машинах зі змінними масово-жорсткісними характеристиками." Thesis, ФО-П Дуюнова Т. В, 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/19909.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.02.09 – динаміка та міцність машин. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2016. Дисертація присвячена розробці підходів, методів і моделей для дослідження динамічних процесів у віброударних системах з урахуванням змінної у часі маси технологічного вантажу та нелінійної жорсткості пружних опор. У роботі викладений новий підхід до урахування впливу змінної маси технологічного вантажу на характер динамічних процесів у віброударній системі. Запропоновані залежності, що описують характер зміни маси як на основі експериментальних досліджень, так і залежно від дисипації енергії при ударі. Встановлено, що внаслідок нелінійної жорсткості пружних опор та залежно від їх конструктивного виконання, можливою є реалізація субгармонійних режимів, що призводить до зростання сили ударної взаємодії. Для пошуку періодичних розв'язків був запропонований новий підхід, що базується на відповідності фазових змінних на початку та в кінці періоду процесу. На основі результатів досліджень сформульовані критерії для відлаштування від резонансу, що може виникнути на кратних (дольних) частотах збудження. З урахування рекомендацій створена удосконалена конструкція корпусу віброударної машини. Проведені дослідження напружено-деформованого стану удосконаленого корпусу вібромашини та встановлено, що він відповідає вимогам міцності. Проведене порівняння отриманих числових результатів досліджень з експериментальними даними. Підтверджена точність і достовірність проведених числових досліджень.
The thesis on competition of a scientific degree of Candidate of technical Science on a specialty 05.02.09 – dynamic and strength of machines. – National Technical University "Kharkiv polytechnical institute", Kharkiv, 2016. This thesis is devoted to the development of approaches, methods and models for investigation of dynamic processes in vibroimpact systems with variable mass of the weight and nonlinear rigidness of elastic supports. In this paper new approach to the accounting of the variable mass influence on the character of dynamical processes in vibroimpact systems was presented. The dependences, that describes the mass change character, based on experimental researches and dependence from dissipated energy were proposed. It was found that the realization of sybharmonical modes became possible because of elastic supports nonlinearity and design features. The realization of subharmonical modes lead to growth of impact interaction force. The approach, based on corresponding values for phase variables at the beginning and the end of period was proposed to periodic solutions search. The criteria for tuning from resonance frequencies that can appear on perturbing force with multiple (partite) frequency were formulated. The machine body designed with taking to the account previously formulated recommen-dations was created. The investigation of stress-strain status was performed and found that improved machine body satisfies strength requirements. The comparison of numerical and experimental data was done. The accuracy and authenticity of numerical investigations was confirmed.
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Hakala, Tim. "Settling-Time Improvements in Positioning Machines Subject to Nonlinear Friction Using Adaptive Impulse Control." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1061.

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A new method of adaptive impulse control is developed to precisely and quickly control the position of machine components subject to friction. Friction dominates the forces affecting fine positioning dynamics. Friction can depend on payload, velocity, step size, path, initial position, temperature, and other variables. Control problems such as steady-state error and limit cycles often arise when applying conventional control techniques to the position control problem. Studies in the last few decades have shown that impulsive control can produce repeatable displacements as small as ten nanometers without limit cycles or steady-state error in machines subject to dry sliding friction. These displacements are achieved through the application of short duration, high intensity pulses. The relationship between pulse duration and displacement is seldom a simple function. The most dependable practical methods for control are self-tuning; they learn from online experience by adapting an internal control parameter until precise position control is achieved. To date, the best known adaptive pulse control methods adapt a single control parameter. While effective, the single parameter methods suffer from sub-optimal settling times and poor parameter convergence. To improve performance while maintaining the capacity for ultimate precision, a new control method referred to as Adaptive Impulse Control (AIC) has been developed. To better fit the nonlinear relationship between pulses and displacements, AIC adaptively tunes a set of parameters. Each parameter affects a different range of displacements. Online updates depend on the residual control error following each pulse, an estimate of pulse sensitivity, and a learning gain. After an update is calculated, it is distributed among the parameters that were used to calculate the most recent pulse. As the stored relationship converges to the actual relationship of the machine, pulses become more accurate and fewer pulses are needed to reach each desired destination. When fewer pulses are needed, settling time improves and efficiency increases. AIC is experimentally compared to conventional PID control and other adaptive pulse control methods on a rotary system with a position measurement resolution of 16000 encoder counts per revolution of the load wheel. The friction in the test system is nonlinear and irregular with a position dependent break-away torque that varies by a factor of more than 1.8 to 1. AIC is shown to improve settling times by as much as a factor of two when compared to other adaptive pulse control methods while maintaining precise control tolerances.
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Cupertino, Thiago Henrique. "Machine learning via dynamical processes on complex networks." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-25032014-154520/.

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Extracting useful knowledge from data sets is a key concept in modern information systems. Consequently, the need of efficient techniques to extract the desired knowledge has been growing over time. Machine learning is a research field dedicated to the development of techniques capable of enabling a machine to \"learn\" from data. Many techniques have been proposed so far, but there are still issues to be unveiled specially in interdisciplinary research. In this thesis, we explore the advantages of network data representation to develop machine learning techniques based on dynamical processes on networks. The network representation unifies the structure, dynamics and functions of the system it represents, and thus is capable of capturing the spatial, topological and functional relations of the data sets under analysis. We develop network-based techniques for the three machine learning paradigms: supervised, semi-supervised and unsupervised. The random walk dynamical process is used to characterize the access of unlabeled data to data classes, configuring a new heuristic we call ease of access in the supervised paradigm. We also propose a classification technique which combines the high-level view of the data, via network topological characterization, and the low-level relations, via similarity measures, in a general framework. Still in the supervised setting, the modularity and Katz centrality network measures are applied to classify multiple observation sets, and an evolving network construction method is applied to the dimensionality reduction problem. The semi-supervised paradigm is covered by extending the ease of access heuristic to the cases in which just a few labeled data samples and many unlabeled samples are available. A semi-supervised technique based on interacting forces is also proposed, for which we provide parameter heuristics and stability analysis via a Lyapunov function. Finally, an unsupervised network-based technique uses the concepts of pinning control and consensus time from dynamical processes to derive a similarity measure used to cluster data. The data is represented by a connected and sparse network in which nodes are dynamical elements. Simulations on benchmark data sets and comparisons to well-known machine learning techniques are provided for all proposed techniques. Advantages of network data representation and dynamical processes for machine learning are highlighted in all cases
A extração de conhecimento útil a partir de conjuntos de dados é um conceito chave em sistemas de informação modernos. Por conseguinte, a necessidade de técnicas eficientes para extrair o conhecimento desejado vem crescendo ao longo do tempo. Aprendizado de máquina é uma área de pesquisa dedicada ao desenvolvimento de técnicas capazes de permitir que uma máquina \"aprenda\" a partir de conjuntos de dados. Muitas técnicas já foram propostas, mas ainda há questões a serem reveladas especialmente em pesquisas interdisciplinares. Nesta tese, exploramos as vantagens da representação de dados em rede para desenvolver técnicas de aprendizado de máquina baseadas em processos dinâmicos em redes. A representação em rede unifica a estrutura, a dinâmica e as funções do sistema representado e, portanto, é capaz de capturar as relações espaciais, topológicas e funcionais dos conjuntos de dados sob análise. Desenvolvemos técnicas baseadas em rede para os três paradigmas de aprendizado de máquina: supervisionado, semissupervisionado e não supervisionado. O processo dinâmico de passeio aleatório é utilizado para caracterizar o acesso de dados não rotulados às classes de dados configurando uma nova heurística no paradigma supervisionado, a qual chamamos de facilidade de acesso. Também propomos uma técnica de classificação de dados que combina a visão de alto nível dos dados, por meio da caracterização topológica de rede, com relações de baixo nível, por meio de medidas de similaridade, em uma estrutura geral. Ainda no aprendizado supervisionado, as medidas de rede modularidade e centralidade Katz são aplicadas para classificar conjuntos de múltiplas observações, e um método de construção evolutiva de rede é aplicado ao problema de redução de dimensionalidade. O paradigma semissupervisionado é abordado por meio da extensão da heurística de facilidade de acesso para os casos em que apenas algumas amostras de dados rotuladas e muitas amostras não rotuladas estão disponíveis. É também proposta uma técnica semissupervisionada baseada em forças de interação, para a qual fornecemos heurísticas para selecionar parâmetros e uma análise de estabilidade mediante uma função de Lyapunov. Finalmente, uma técnica não supervisionada baseada em rede utiliza os conceitos de controle pontual e tempo de consenso de processos dinâmicos para derivar uma medida de similaridade usada para agrupar dados. Os dados são representados por uma rede conectada e esparsa na qual os vértices são elementos dinâmicos. Simulações com dados de referência e comparações com técnicas de aprendizado de máquina conhecidas são fornecidos para todas as técnicas propostas. As vantagens da representação de dados em rede e de processos dinâmicos para o aprendizado de máquina são evidenciadas em todos os casos
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Göl, Özdemir. "Dynamic modelling of induction machines /." Title page, contents and abstract only, 1993. http://web4.library.adelaide.edu.au/theses/09PH/09phg595.pdf.

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Books on the topic "Dynamic processes in machines"

1

Astashev, V. K. Ultrasonic processes and machines: Dynamics, control and applications. Berlin: Springer, 2007.

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Denkena, Berend. Process Machine Interactions: Predicition and Manipulation of Interactions between Manufacturing Processes and Machine Tool Structures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Nagaev, R. F. Mechanical processes with repeated attenuated impacts. Edited by Kremer E. B. Singapore: World Scientific, 1999.

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Ohta, Nobuo, Colin M. MacLeod, and Bob Uttl, eds. Dynamic Cognitive Processes. Tokyo: Springer Tokyo, 2005. http://dx.doi.org/10.1007/b139064.

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Huda, Zainul. Machining Processes and Machines. First edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003081203.

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Thomas, Marion Y., Thomas M. Mitchell, and Harsha S. Bhat, eds. Fault Zone Dynamic Processes. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119156895.

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Singh, Lakhbinder. Dynamic simulation of chemical processes. Birmingham: Aston University. Department of Chemical Engineering and Applied Chemistry, 1991.

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Bakker, Johan Willem. Dynamic visualization of chemical processes. [Leiden: University of Leiden, 1998.

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Tamaru, Kenzi, ed. Dynamic Processes on Solid Surfaces. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1636-5.

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Hiermaier, Stefan, ed. Predictive Modeling of Dynamic Processes. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0727-1.

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Book chapters on the topic "Dynamic processes in machines"

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Zhang, June, and José M. F. Moura. "Dynamic Processes on Complex Networks." In Signal Processing and Machine Learning for Biomedical Big Data, 177–91. Boca Raton : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9781351061223-9.

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Cera, Márcia C., Guilherme P. Pezzi, Elton N. Mathias, Nicolas Maillard, and Philippe O. A. Navaux. "Improving the Dynamic Creation of Processes in MPI-2." In Recent Advances in Parallel Virtual Machine and Message Passing Interface, 247–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11846802_37.

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Astashev, V. K. "Nonlinear Dynamics and Control of Ultrasonic Technology Processes and Systems." In Advanced Dynamics and Model-Based Control of Structures and Machines, 19–26. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0797-3_3.

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Graniero, Paolo, and Marco Gärtler. "Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival Analysis." In Machine Learning for Cyber Physical Systems, 53–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62746-4_6.

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AbstractBatch runs corresponding to the same recipe usually have different duration. The data collected by the sensors that equip batch production lines reflects this fact: time series with different lengths and unsynchronized events. Dynamic Time Warping (DTW) is an algorithm successfully used, in batch monitoring too, to synchronize and map to a standard time axis two series, an action called alignment. The online alignment of running batches, although interesting, gives no information on the remaining time frame of the batch, such as its total runtime, or time-to-end. We notice that this problem is similar to the one addressed by Survival Analysis (SA), a statistical technique of standard use in clinical studies to model time-to-event data. Machine Learning (ML) algorithms adapted to survival data exist, with increased predictive performance with respect to classical formulations. We apply a SA-ML-based system to the problem of predicting the time-to-end of a running batch, and show a new application of DTW. The information returned by openended DTW can be used to select relevant data samples for the SA-ML system, without negatively affecting the predictive performance and decreasing the computational cost with respect to the same SA-ML system that uses all the data available. We tested the system on a real-world dataset coming from a chemical plant.
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Gorkunov, E. S. "Magnetoelastic Effect as Applied to Estimating Elastic-Plastic Strains in Steels and Optimization of Technological Processes." In Advanced Dynamics and Model-Based Control of Structures and Machines, 83–91. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0797-3_10.

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Mühlbauer, Matthias, Hubert Würschinger, Dominik Polzer, and Nico Hanenkamp. "Energy Profile Prediction of Milling Processes Using Machine Learning Techniques." In Machine Learning for Cyber Physical Systems, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62746-4_1.

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AbstractThe prediction of the power consumption increases the transparency and the understanding of a cutting process, this delivers various potentials. Beside the planning and optimization of manufacturing processes, there are application areas in different kinds of deviation detection and condition monitoring. Due to the complicated stochastic processes during the cutting processes, analytical approaches quickly reach their limits. Since the 1980s, approaches for predicting the time or energy consumption use empirical models. Nevertheless, most of the existing models regard only static snapshots and are not able to picture the dynamic load fluctuations during the entire milling process. This paper describes a data-driven way for a more detailed prediction of the power consumption for a milling process using Machine Learning techniques. To increase the accuracy we used separate models and machine learning algorithms for different operations of the milling machine to predict the required time and energy. The merger of the individual models allows finally the accurate forecast of the load profile of the milling process for a specific machine tool. The following method introduces the whole pipeline from the data acquisition, over the preprocessing and the model building to the validation.
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Gottbrath, Christopher, Brian Barrett, Bill Gropp, Ewing “Rusty” Lusk, and Jeff Squyres. "An Interface to Support the Identification of Dynamic MPI 2 Processes for Scalable Parallel Debugging." In Recent Advances in Parallel Virtual Machine and Message Passing Interface, 115–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11846802_22.

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Shatokhin, Vladimir, Boris Granko, Vladimir Sobol, Victor Stasiuk, Maksat Kalimoldayev, Waldemar Wójcik, Aigul Iskakova, and Kuanysh Muslimov. "Mathematical modeling of dynamic processes in the turning mechanism of the tracked machine with hydrovolume transmission." In Mechatronic Systems 1, 53–64. London: Routledge, 2021. http://dx.doi.org/10.1201/9781003224136-5.

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Germann, Thiemo, Daniel M. Martin, Christian Kubik, and Peter Groche. "Mastering Uncertain Operating Conditions in the Development of Complex Machine Elements by Validation Under Dynamic Superimposed Operating Conditions." In Lecture Notes in Mechanical Engineering, 236–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_19.

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AbstractMachine elements produced in large quantities undergo several development cycles and can be adapted from generation to generation. Thus, experiences from real operation can be taken into account in further development. This is not possible for innovative investment goods such as special purpose machines, as these are usually individual items. Therefore, functionality and quality of newly developed components must be assured by previous investigations.Conventional methods are inadequate at this point, as they cannot represent the actual, complex operating conditions in the later application. A reliable statement about the behavior of the system through a comprehensive validation in laboratory tests under standardized conditions is not achievable in this way due to a multitude of diversified load cases.In previous work, a method was developed to allow testing of machine elements in the laboratory under detuned operating conditions. For this purpose, disturbance variables are applied to the system using paraffin wax phase change actuators in order to simulate real operation states and to analyze the behavior of the machine element under these conditions. The investigated disturbance variables are fluctuations and asymmetries of the operating load through superimposed temperature gradients. Complex interactions between the machine element and the adjacent components or the overall system can thus be taken into account.The functionality of the methodology has been developed and briefly demonstrated so far. This paper presents the next level within the development process of the methodology. The necessary components are explained in detail and an AI black box evaluation tool is discussed. This work is based on a test bench that applies dynamically changing states of detuning under superimposed disturbances. Additionally, energy efficiency and performance of the test setup is advanced. As presented, the method opens up the possibility of validating new machine elements in the laboratory under realistic conditions.
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Gerling, Dieter. "Fundamentals of Dynamic Operation." In Electrical Machines, 255–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-17584-8_9.

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Conference papers on the topic "Dynamic processes in machines"

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Rikhsieva, B. B., and B. E. Khusanov. "On Solution of Static Elastoplastic Problems Considering Dynamic Processes." In 2021 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2021. http://dx.doi.org/10.1109/dynamics52735.2021.9653697.

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Girshin, S. S., V. N. Gorjunov, A. Ya Bigun, E. V. Petrova, and E. A. Kuznetsov. "Overhead power line heating dynamic processes calculation based on the heat transfer quadratic model." In 2016 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2016. http://dx.doi.org/10.1109/dynamics.2016.7819013.

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Naumenko, A. P., I. S. Kudryavtseva, and A. I. Odinets. "Evaluation of Peak Values of the Oscillation Processes Parameters." In 2018 Dynamics of Systems, Mechanisms and Machines. IEEE, 2018. http://dx.doi.org/10.1109/dynamics.2018.8601451.

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Pavlov, G. I., and O. R. Sitnikov. "Modeling of dynamic processes in automotive engines noise mufflers." In 2020 International Conference on Dynamics and Vibroacoustics of Machines (DVM). IEEE, 2020. http://dx.doi.org/10.1109/dvm49764.2020.9243873.

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Malysheva, Nadezhda N., and Aleksandr A. Pavlov. "Determination of probabilistic descriptions and stochastic processes of changes loads." In 2016 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2016. http://dx.doi.org/10.1109/dynamics.2016.7819045.

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Malysheva, Nadezhda N., and Aleksandr A. Pavlov. "Determination of probabilistic descriptions and stochastic processes of changes loads." In 2017 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2017. http://dx.doi.org/10.1109/dynamics.2017.8239485.

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Kozlov, A. G., and E. A. Fadina. "Analysis of electrophysical processes in system of interdigitated microelectrodes used in microchannels." In 2016 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2016. http://dx.doi.org/10.1109/dynamics.2016.7819032.

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Kaygorodtseva, N. V., and M. N. Odinets. "From Idea to 3D-model. The continuous design automation of petrochemical processes equipment." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005657.

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Lyubchenko, Alexander, Joaquin A. Pacheco, Vasilii A. Maystrenko, Evgeny Y. Kopytov, Sergey S. Lutchenko, and Igor V. Bogachkov. "Quantitative analysis of diagnosis errors in the models of electronics preventive maintenance processes." In 2017 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2017. http://dx.doi.org/10.1109/dynamics.2017.8239483.

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Kovalev, V. Z., V. O. Bessonov, Ye M. Kuznetsov, and V. V. Anikin. "Electromagnetic Processes in the Energy-Efficient Phase Switch of an Electrical Submersible Motor." In 2018 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2018. http://dx.doi.org/10.1109/dynamics.2018.8601450.

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Reports on the topic "Dynamic processes in machines"

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Myers, Michael Thomas. Toward understanding dynamic annealing processes in irradiated ceramics. Office of Scientific and Technical Information (OSTI), May 2013. http://dx.doi.org/10.2172/1062206.

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Соловйов, Володимир Миколайович, Наталя Володимирівна Моісеєнко, and Олена Юріївна Тарасова. Complexity theory and dynamic characteristics of cognitive processes. Springer, January 2020. http://dx.doi.org/10.31812/123456789/4143.

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The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using entropy multiscale, multifractal, recurrence and network complexity measures has shown that these and other synergetic models and methods allow us to correctly describe the quantitative differences of cognitive systems. The cognitive process is proposed to be regarded as a separate implementation of an individual cognitive trajectory, which can be represented as a time series and to investigate its static and dynamic features by the methods of complexity theory. Prognostic possibilities of the complex systems theory will allow to correct the corresponding pedagogical technologies. It has been proposed to track and quantitatively describe the cognitive trajectory using specially transformed computer games which can be used to test the processual characteristics of thinking.
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Johnson, Mark. Dynamic Scaling in Cellular Automata Simulations of Deposition Processes. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada375200.

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Perdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, September 2021. http://dx.doi.org/10.46337/210930.

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Disruptive socio-natural transformations and climatic change, where system invariants and symmetries break down, defy the traditional complexity paradigms such as machine learning and artificial intelligence. In order to overcome this, we introduced non-ergodic Information Physics, bringing physical meaning to inferential metrics, and a coevolving flexibility to the metrics of information transfer, resulting in new methods for causal discovery and attribution. With this in hand, we develop novel dynamic models and analysis algorithms natively built for quantum information technological platforms, expediting complex system computations and rigour. Moreover, we introduce novel quantum sensing technologies in our Meteoceanics satellite constellation, providing unprecedented spatiotemporal coverage, resolution and lead, whilst using exclusively sustainable materials and processes across the value chain. Our technologies bring out novel information physical fingerprints of extreme events, with recently proven records in capturing early warning signs for extreme hydro-meteorologic events and seismic events, and do so with unprecedented quantum-grade resolution, robustness, security, speed and fidelity in sensing, processing and communication. Our advances, from Earth to Space, further provide crucial predictive edge and added value to early warning systems of natural hazards and long-term predictions supporting climatic security and action.
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Sykora, Milan, and Edward Martin Kober. MaRIE: Probing Dynamic Processes in Soft Materials Using Advanced Light Sources. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1238139.

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Timlin, Jerilyn Ann, Howland D. T. Jones, Aaron M. Collins, Anne M. Ruffing, Kylea Joy Parchert, Christine Alexandra Trahan, Omar Fidel Garcia, et al. From benchtop to raceway : spectroscopic signatures of dynamic biological processes in algal communities. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1055623.

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Sonnerup, Bengt U., and William Lotko. Dynamic Processes at the Outer Boundary of the Magnetosphere, Including Coupling to the Ionosphere. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada282038.

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Shen, Lian. Dynamic Simulations of Realistic Upper-Ocean Flow Processes to Support Measurement and Data Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada615929.

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Chen, Xiao, Jaisree Iyer, and Susan Carroll. Dynamic reduced order modelling (ROM) of chemical and mechanical processes in CO2-cement systems. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1476178.

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Kabius, Bernd C., Nigel D. Browning, Suntharampillai Thevuthasan, Barbara L. Diehl, and Eric A. Stach. Dynamic Processes in Biology, Chemistry, and Materials Science: Opportunities for UltraFast Transmission Electron Microscopy - Workshop Summary Report. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1069215.

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