Literatura científica selecionada sobre o tema "Advanced machine controls"
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Artigos de revistas sobre o assunto "Advanced machine controls"
Koren, Yoram. "Control of Machine Tools". Journal of Manufacturing Science and Engineering 119, n.º 4B (1 de novembro de 1997): 749–55. http://dx.doi.org/10.1115/1.2836820.
Texto completo da fonteChen, Mingzhang, Xinfei Ning, Zijian Zhou, Yuwen Shu, Yun Tang, Yang Cao, Xuebing Shang e Xinghui Han. "LMS/RLS/OCTAVE Vibration Controls of Cold Orbital Forging Machines for Improving Quality of Forged Vehicle Parts". World Electric Vehicle Journal 13, n.º 5 (27 de abril de 2022): 76. http://dx.doi.org/10.3390/wevj13050076.
Texto completo da fonteWright, Alan D., e Mark J. Balas. "Design of Controls to Attenuate Loads in the Controls Advanced Research Turbine". Journal of Solar Energy Engineering 126, n.º 4 (1 de novembro de 2004): 1083–91. http://dx.doi.org/10.1115/1.1792654.
Texto completo da fonteKim, Joong Nam. "Man-Machine Interface Design for Korean Next Generation Reactor: A Human Factors Perspective". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, n.º 22 (julho de 2000): 823–26. http://dx.doi.org/10.1177/154193120004402285.
Texto completo da fonteXavier, André Amorim Gonçalves, Flavio Maldonado Bentes, Marcelo de Jesus Rodrigues da Nóbrega, Fabiano Battemarco da Silva Martins e Hildson Rodrigues de Queiroz. "CNC Machine Building Through Open Sources Projects and Programs". International Journal for Innovation Education and Research 8, n.º 9 (1 de setembro de 2020): 108–18. http://dx.doi.org/10.31686/ijier.vol8.iss9.2600.
Texto completo da fonteMaleki, Ehsan, Brice Pridgen, William Singhose, Urs Glauser e Warren Seering. "Educational Use of a Small-Scale Cherrypicker". International Journal of Mechanical Engineering Education 40, n.º 2 (abril de 2012): 104–20. http://dx.doi.org/10.7227/ijmee.40.2.2.
Texto completo da fonteO’Brien, Megan K., Olivia K. Botonis, Elissa Larkin, Julia Carpenter, Bonnie Martin-Harris, Rachel Maronati, KunHyuck Lee et al. "Advanced Machine Learning Tools to Monitor Biomarkers of Dysphagia: A Wearable Sensor Proof-of-Concept Study". Digital Biomarkers 5, n.º 2 (27 de julho de 2021): 167–75. http://dx.doi.org/10.1159/000517144.
Texto completo da fontePurushotham, Dr M. "Advanced Key Foundations of Multiagent System". International Journal for Research in Applied Science and Engineering Technology 11, n.º 3 (31 de março de 2023): 1–6. http://dx.doi.org/10.22214/ijraset.2023.49153.
Texto completo da fonteHafiz, Mohd Zani, Halim Isa e Muhammad Syafiq Syed Mohamed. "An Overview of Ergonomics Problems Related to CNC Machining Operations". Advanced Engineering Forum 10 (dezembro de 2013): 137–42. http://dx.doi.org/10.4028/www.scientific.net/aef.10.137.
Texto completo da fonteCastro-Martin, Ana Pamela, Horacio Ahuett-Garza, Darío Guamán-Lozada, Maria F. Márquez-Alderete, Pedro D. Urbina Coronado, Pedro A. Orta Castañon, Thomas R. Kurfess e Emilio González de Castilla. "Connectivity as a Design Feature for Industry 4.0 Production Equipment: Application for the Development of an In-Line Metrology System". Applied Sciences 11, n.º 3 (1 de fevereiro de 2021): 1312. http://dx.doi.org/10.3390/app11031312.
Texto completo da fonteTeses / dissertações sobre o assunto "Advanced machine controls"
Ma, Yu Ph D. Massachusetts Institute of Technology. "Machine learning in ocean applications : wave prediction for advanced controls of renewable energy and modeling nonlinear viscous hydrodynamics". Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127057.
Texto completo da fonteCataloged from the official PDF of thesis.
Includes bibliographical references (pages 144-150).
Many conventional problems in ocean engineering remain challenging due to the stochastic nature of ocean waves, viscous effects of the flow, nonlinear resonance, etc., and the combination of these factors. Data-driven techniques is an prospective approach complementary to traditional methods to model physical problems since data from experiments, field tests or high-fidelity simulations are mostly informative about actual physical systems. Machine learning algorithms, especially kernel based methods have very good generalization capability as well as statistical inference. This thesis targets to establish a framework that how we can use data from real-time measurements or data gathered from experiments and field tests and simulations to provide an alternative approach for physical modeling or practical engineering solutions.
In this thesis, we mainly target two different types of problems-mapping highly nonlinear physical relations and predicting time series, to prove the feasibility of such a framework. More specifically, one problem is the short-term wave prediction based on realtime measurements and its application to the advanced controls of renewable energy. The other one is the modeling of nonlinear viscous hydrodynamic loads of ships and offshore platforms. The Support Vector Machines (SVM) is used in solving both the problems. In the thesis, the SVM regression model are developed for the realtime short-term forecast of wave elevations and wave excitation forces. Optimal controllers aiming to reduce the structural loads or optimize energy capture with the knowledge of the forecasted wave force are established for offshore floating wind turbines and wave energy converters.
A series of CFD simulations of a rectangular barge with bilge keels are conducted and validated, along with the experiment data of a fixed offshore cylindrical platform, to serve as the baseline data set to model the nonlinear viscous hydrodynamic loads. Using the wave elevations and ship roll kinematics as features, the SVM regression models are trained and tested to predict the nonlinear hydrodynamic loads. The influence of the stochastic effect and different feature selections and kernel selections are discussed in the thesis as well. Key words: Machine learning, SVM regression, short-term forecast, model predictive control, nonlinear viscous hydrodynamic loads
by Yu Ma.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Mechanical Engineering
Bouyahia, Omar. "Génération électrique tolérante aux défauts à base de structures multiphasées : comparaison, choix d'une technologie, transfert technologique". Electronic Thesis or Diss., Amiens, 2022. http://www.theses.fr/2022AMIE0040.
Texto completo da fonteThe project of this thesis consists in the definition of a fault tolerant multiphase generator allowing to increase the reliability of a production line. In fact, whatever the fossil fuel (oil, gas, coal) or renewable (hydraulic, wind, biomass, solar) primary energy used upstream, it is necessary to transform it into electric energy a conversion chain based on an electric generator. whatever the power level (from kW to MW). This element, basically of three-phase structure, is subject to failures during the loss of a phase. Also, by multiplying the number of phases, the production can continue if there remain three active phases. Nevertheless, even if the generation is still possible, it is necessary to define an intelligent control that adapts to the fault and drives the power converter so as to maintain a clean power generation complying with the rules imposed by the national power grid
BERTO, MATTEO. "Advanced Modeling of Anisotropic Synchronous Machine Drives for Sensorless Control". Doctoral thesis, Università degli studi di Padova, 2022. http://hdl.handle.net/11577/3459855.
Texto completo da fonteSynchronous machines are extensively used for home appliances and industrial applications thanks to their fast dynamic response, good overload capability and high energy density. A precise knowledge of the rotor position is required to control efficiently this kind of motors. In most of the applications resolvers or absolute encoders are installed on the rotor shaft. The employment of position sensors leads to significant drawbacks such as the increased size and cost of the system and a lower reliability of the drive, caused by additional hardware and cabling. In sensorless drives motor position is estimated and employed in the machine control. Thus, no position sensor is required by the drive and all the drawbacks entailed by the sensor are eliminated. Moreover, the position estimation could be useful for redundancy in case of system failures. Therefore, position estimation techniques are object of great interest in the electric drives field. Position estimation techniques can be divided into two main categories: methods that are suitable for medium or high speed and techniques suitable for low speed or standstill operations. In the former group the motor position is estimated through a reconstruction of the permanent magnet flux or back electromotive force (back-EMF). In case of synchronous reluctance machines it is possible to reconstruct the extended active flux or back-EMF. Stator voltages and currents measurements are needed for these reconstruction methods. Since these signals amplitude is proportional to the rotor speed, position estimation can be successfully performed only for medium and high speed machine operations. In the low speed range, sensorless schemes exploit the rotor magnetic anisotropy. Thus, position can be estimated only for anisotropic motors, i.e. synchronous reluctance motors (SynRM), permanent magnet assisted synchronous reluctance motors (PMA-SynRM) and interior permanent magnet synchronous motors (IPMSM). The rotor anisotropy is recognized thanks to an high frequency voltage injection in the stator windings. Several injection techniques have been proposed, differing from the signal typology. In particular, high frequency sinusoidal or square-wave carriers are often applied. The position information is usually extracted from the current response through a heterodyning demodulation that entails the use of low pass filters in the position estimator, limiting its dynamic. The aim of the research was proposing a new algorithm to estimate the rotor position from the HF current response, getting rid of the demodulation and its weaknesses. Thus, the ellipse fitting technique has been proposed. Robustness against signal processing delay effects and a reduced number of required filters are the main advantages of this novel approach. The inverse problem related to the ellipse fitting is solved implementing a recursive least squares algorithm. The proposed ellipse fitting technique is not affected by signal processing delay effects, and it requires the tuning of only one parameter, called forgetting factor, making the studied method suitable for industrial application thanks to its minimal setup effort. Besides the ellipse fitting technique for rotor position estimation, two other topics have been studied: - Computation of self-sensing capabilities of synchronous machines. - Online incremental inductances identification for SynRM.
VARATHARAJAN, ANANTARAM. "Generalized Sensorless and Advanced Control of Synchronous Reluctance Machines". Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2872347.
Texto completo da fonteHsieh, Kuang-Han. "Part geometry for advanced quality control and process monitoring /". free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9842539.
Texto completo da fonteMilthorpe, Thomas Edward. "Development of advanced control strategies for a dynamic triaxial soil testing machine". Thesis, University of Reading, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590131.
Texto completo da fonteJiffri, Shakir. "Advanced passive and active methods for vibration control in rotating machines". Thesis, University of Nottingham, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582112.
Texto completo da fonteOuyang, Dingxin. "Intelligent Road Control System Using Advanced Image Processing Techniques". University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1352749656.
Texto completo da fonteGao, Yuan, e 高源. "Control of chaos in advanced motor drives". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B45014784.
Texto completo da fonteCédric, Peeters. "Advanced signal processing for the identification and diagnosis of the condition of rotating machinery". Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI107.
Texto completo da fonteThis Ph.D. dissertation targets innovative methods for vibration-based condition monitoring of rotating machinery. Substantial benefits can be achieved from an economical and a safety point of view using condition monitoring. One of the most popular methods to gather information about the state of machine parts is through the analysis of machine vibrations. Most of these vibrations are directly linked to periodical behavior of subsystems within the machine like e.g. rotating shafts, gears, rotating electrical fields, etc. This knowledge can be exploited to enable faultdependent processing schemes. This dissertation investigates how to implement and utilize these processing schemes and details the steps in such a procedure. Typically, the first prerequisite for advanced analysis is the availability of the instantaneous rotation speed. This speed needs to be known since most frequency-based analysis techniques assume stationary behavior. Knowledge of the speed thus allows for compensating speed fluctuations, for example through angular resampling of the vibration signal. While there are hardware-based solutions for speed estimation using angle encoders or tachometers, this thesis investigates the potential in vibration signals for speed estimation. After speed estimation and angular resampling, a common next step is to separate the signal into deterministic and stochastic components. The cepstrum editing procedure is examined for its efficacy and applicability. Afterwards, different filtering methods are inspected as to improve the signal-to-noise ratio of the signal content of interest. Existing methods using conventional criteria are investigated together with a novel blind filtering methodology. The final step in the multi-step processing scheme is to search for the potential fault. Statistical indicators can be calculated on the processed time domain signal and tracked over time to check for increases. In many cases, the fault signature exhibits cyclostationary behavior. Therefore this dissertation also examines different cyclostationary analysis techniques. Lastly, the performance of the different processing methods is validated on two experimental vibration data sets of wind turbine gearboxes
Livros sobre o assunto "Advanced machine controls"
R, Hill Malcolm. Soviet advanced manufacturing technology and western export controls. Aldershot, Hants, England: Avebury, 1991.
Encontre o texto completo da fonteComputer numerical control: Advanced techniques. New York: McGraw-Hill, 1992.
Encontre o texto completo da fonte1959-, Wang Lihui, e Xi Jeff 1958-, eds. Smart devices and machines for advanced manufacturing. London: Springer, 2008.
Encontre o texto completo da fonteIrschik, Hans, Michael Krommer, Valerii P. Matveenko e Alexander K. Belyaev, eds. Dynamics and Control of Advanced Structures and Machines. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-79325-8.
Texto completo da fonteIrschik, Hans, e Kurt Schlacher, eds. Advanced Dynamics and Control of Structures and Machines. Vienna: Springer Vienna, 2004. http://dx.doi.org/10.1007/978-3-7091-2774-2.
Texto completo da fonteMatveenko, Valerii P., Michael Krommer, Alexander K. Belyaev e Hans Irschik, eds. Dynamics and Control of Advanced Structures and Machines. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-90884-7.
Texto completo da fonteIrschik, Hans, Alexander Belyaev e Michael Krommer, eds. Dynamics and Control of Advanced Structures and Machines. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43080-5.
Texto completo da fonteHans, Irschik, e Schlacher Kurt, eds. Advanced dynamics and control of structures and machines. Wien: Springer, 2004.
Encontre o texto completo da fonteIrschik, Hans, Michael Krommer e Alexander K. Belyaev, eds. Advanced Dynamics and Model-Based Control of Structures and Machines. Vienna: Springer Vienna, 2012. http://dx.doi.org/10.1007/978-3-7091-0797-3.
Texto completo da fonteA, Franklin Judy, Mitchell Tom M. 1951- e Thrun Sebastian 1967-, eds. Recent advances in robot learning. Boston: Kluwer Academic Publishers, 1996.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Advanced machine controls"
De Doncker, Rik W., Duco W. J. Pulle e André Veltman. "Control of Synchronous Machine Drives". In Advanced Electrical Drives, 179–219. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48977-9_7.
Texto completo da fonteDe Doncker, Rik W., Duco W. J. Pulle e André Veltman. "Control of Induction Machine Drives". In Advanced Electrical Drives, 285–337. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48977-9_9.
Texto completo da fonteDe Doncker, Rik, Duco W. J. Pulle e André Veltman. "Control of Synchronous Machine Drives". In Advanced Electrical Drives, 193–237. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0181-6_7.
Texto completo da fonteDe Doncker, Rik, Duco W. J. Pulle e André Veltman. "Control of Induction Machine Drives". In Advanced Electrical Drives, 303–60. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0181-6_9.
Texto completo da fonteSzulc, Michał, Jerzy Kasprzyk e Jacek Loska. "Creep Testing Machine Identification for Power System Load Optimization". In Advanced, Contemporary Control, 113–22. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35170-9_11.
Texto completo da fonteKondaka, Lakshmisudha, Adwait Rangnekar, Akshay Shetty e Yash Zawar. "ARTFDS–Advanced Railway Track Fault Detection System Using Machine Learning". In Inventive Systems and Control, 609–24. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1012-8_41.
Texto completo da fonteFimmers, Christian, Simon Storms e Christian Brecher. "Energy-Flexible Machine Control Interfaces". In Advances in Production Research, 563–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03451-1_55.
Texto completo da fontePietroni, Paolo, Barbara Torcianti, A. Bruni e Cristalli Cristalli. "Advanced Dimensional Control on Washing Machine Sealing through Profilometry". In Advances in Intelligent and Soft Computing, 369–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23154-4_41.
Texto completo da fonteGlumineau, Alain, e Jesús de León Morales. "Dynamical Models of AC Machines". In Advances in Industrial Control, 1–44. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14586-0_1.
Texto completo da fonteGlumineau, Alain, e Jesús de León Morales. "Observability Property of AC Machines". In Advances in Industrial Control, 45–78. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14586-0_2.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Advanced machine controls"
Ezell, N. Dianne, Brandon Wilson, Pradeep Ramuhalli, Wesley Williams e Christian Petrie. "Non-Nuclear Advanced Controls Testbed". In 13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023). Illinois: American Nuclear Society, 2023. http://dx.doi.org/10.13182/npichmit23-41567.
Texto completo da fonteWasfy, Tamer M., Ayman M. Wasfy, Hazim El-Mounayri e Daniel Aw. "Virtual Training Environment for a 3-Axis CNC Milling Machine". In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84689.
Texto completo da fonteHunko, Wesley S., e Lewis N. Payton. "Implementing Computer Numerical Controls Affordably at a Four Year University". In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66152.
Texto completo da fonteWright, Alan D., e Mark J. Balas. "Design of Modern Controls for the Controlled Advanced Research Turbine (CART)". In ASME 2003 Wind Energy Symposium. ASMEDC, 2003. http://dx.doi.org/10.1115/wind2003-1041.
Texto completo da fonteBoring, Ronald. "Human Factors for Advanced Reactors". In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003781.
Texto completo da fonteMaleki, Ehsan, Brice Pridgen, Jing Qi Xiong e William Singhose. "Dynamic Analysis and Control of a Portable Cherrypicker". In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4241.
Texto completo da fonteMiller, Don W., Steven A. Arndt, Leonard J. Bond, Donald D. Dudenhoeffer, Bruce P. Hallbert, David E. Holcomb, Richard T. Wood, Joseph A. Naser, John O’Hara e Edward L. Quinn. "Roadmap for Research, Development, and Demonstration of Instrumentation, Controls, and Human-Machine Interface Technologies". In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48756.
Texto completo da fonteRengan, Bharathan Kasthuri. "Smart Acquiring Platform in Contactless Payments using Advanced Machine Learning : Security Controls using Device Recognition, Geo Fencing and Customer on File". In 2023 IEEE Long Island Systems, Applications and Technology Conference (LISAT). IEEE, 2023. http://dx.doi.org/10.1109/lisat58403.2023.10179552.
Texto completo da fonteAnifowose, Fatai Adesina, Saeed Saad Alshahrani e Mokhles Mustafa Mezghani. "Linear and Nonlinear Controls of Wireline Logs on Automated Grain Size Estimation Using Machine Learning Approach". In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205802-ms.
Texto completo da fonteGodumagadda, A., A. Groh, E. Corne e P. Kasireddy. "A Platform for Data Science and Analytics at the Edge". In IADC/SPE International Drilling Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/217722-ms.
Texto completo da fonteRelatórios de organizações sobre o assunto "Advanced machine controls"
Hovakimyan, Naira, Hunmin Kim, Wenbin Wan e Chuyuan Tao. Safe Operation of Connected Vehicles in Complex and Unforeseen Environments. Illinois Center for Transportation, agosto de 2022. http://dx.doi.org/10.36501/0197-9191/22-016.
Texto completo da fonteDonald D Dudenhoeffer e Burce P Hallbert. Technology Roadmap Instrumentation, Control, and Human-Machine Interface to Support DOE Advanced Nuclear Energy Programs. Office of Scientific and Technical Information (OSTI), março de 2007. http://dx.doi.org/10.2172/983948.
Texto completo da fonteMontero, Elkin Christian, Daniel Muñoz e Anderson Téllez. Ventajas en costos, tiempo y mantenimiento a laboratorios, al diseñar plantas para el aprendizaje de la automatización y control de procesos industriales. Escuela Tecnológica Instituto Técnico Central, 2013. http://dx.doi.org/10.55411/2023.46.
Texto completo da fonteYang, Yu, e Hen-Geul Yeh. Electrical Vehicle Charging Infrastructure Design and Operations. Mineta Transportation Institute, julho de 2023. http://dx.doi.org/10.31979/mti.2023.2240.
Texto completo da fonte