Bibliografías temáticas / Power state machine generation

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Literatura académica sobre el tema "Power state machine generation"

Autor: Grafiati
Publicado: 11 de marzo de 2023

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Artículos de revistas sobre el tema "Power state machine generation"

1

Pop, Claudia V. y D. Foreran. "State of the art of Multiport Electrical Machines and Magnetic Gears with respect to Wind Power Generation Application". Renewable Energy and Power Quality Journal 20 (septiembre de 2022): 6–11. http://dx.doi.org/10.24084/repqj20.206.

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This paper presents a state of the art of multiport machines and magnetic gears designed for power generation applications. A multiport machine consists mainly of an electrical machine wo which a magnetic gear is integrated. Thus, one can get a device with more than two shafts, capable to operate at different levels of torque and speed. The main structures found in the literature, their operation, speed increase capability, materials, advantages and disadvantages are depicted in this review-type paper.
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2

Read, MG, IK Smith y N. Stosic. "Optimisation of power generation cycles using saturated liquid expansion to maximise heat recovery". Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 231, n.º 1 (11 de diciembre de 2016): 57–69. http://dx.doi.org/10.1177/0954408916679202.

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The use of two-phase screw expanders in power generation cycles can achieve an increase in the utilisation of available energy from a low-temperature heat source when compared with more conventional single-phase turbines. The efficiency of screw expander machines is sensitive to expansion volume ratio, which, for given inlet and discharge pressures, increases as the expander inlet vapour dryness fraction decreases. For single-stage screw machines with low inlet dryness, this can lead to underexpansion of the working fluid and low isentropic efficiency. The cycle efficiency can potentially be improved by using a two-stage expander, consisting of a machine for low-pressure expansion and a smaller high-pressure machine connected in series. By expanding the working fluid over two stages, the built-in volume ratios of the two machines can be selected to provide a better match with the overall expansion process, thereby increasing the efficiency. The mass flow rate though both stages must be matched, and the compromise between increasing efficiency and maximising power output must also be considered. This study is based on the use of a rigorous thermodynamic screw machine model to compare the performance of single- and two-stage expanders. The model allows optimisation of the required intermediate pressure in the two-stage expander, along with the built-in volume ratio of both screw machine stages. The results allow specification of a two-stage machine, using either two screw machines or a combination of high-pressure screw and low-pressure turbine, in order to achieve maximum efficiency for a particular power output. For the low-temperature heat recovery application considered in this paper, the trilateral flash cycle using a two-stage expander and the Smith cycle using a high-pressure screw and low-pressure turbine are both predicted to achieve a similar overall conversion efficiency to that of a conventional saturated vapour organic Rankine cycle.
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Khitrov, Andrei y Alexander Khitrov. "Electrical subsystem of the low-power cogeneration plant with low-speed vehicle". Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (8 de agosto de 2015): 119. http://dx.doi.org/10.17770/etr2013vol2.852.

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Nowadays diesel power plants form the basis of distributed power generation in Russia, but they have disadvantages. The alternative variant is cogeneration plant based on the rotary-vane machine. One of the types of such machines is the rotary-vane external combustion vehicle (engine) developed in Pskov State University. Electrical subsystem of the plant requires its effective work to provide both start and generation modes. Development of such subsystem structure, employment of elements for links with other subsystems in the hierarchic control system is an actual task. The paper considers structures of the electrical part of the plant, simulation and experiment results.
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Zhuang, Zhe Min y Fen Lan Li. "Statistical Method for Rotating Machine Fault Diagnosis". Advanced Materials Research 383-390 (noviembre de 2011): 1406–10. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1406.

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In this paper, a time-domain analysis method based on multivariate statistic is presented for wind power generation fault diagnosis. Generally, the sound and vibration signals obtained from wind power generation are time-variant since they are strongly related to the rotational speed which is not constant even in the macro steady state. Since the mostly used signal processing method, the Fourier analysis, is only suitable for stationary signals, the development of the joint time-frequency analysis is demanded. Here, Q statistic (also referred as squared prediction error, SPE) is introduced, it is used to monitor the vibration signals and three-phase currents. The control limit of the Q statistics is calculated to decide the state of the rotating machine, and the contribution plot of SPE is used to find the fault source. The method can efficiently detect faint change and the validity of the method is proved by experiments.
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Carrera, Berny y Kwanho Kim. "Comparison Analysis of Machine Learning Techniques for Photovoltaic Prediction Using Weather Sensor Data". Sensors 20, n.º 11 (1 de junio de 2020): 3129. http://dx.doi.org/10.3390/s20113129.

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Over the past few years, solar power has significantly increased in popularity as a renewable energy. In the context of electricity generation, solar power offers clean and accessible energy, as it is not associated with global warming and pollution. The main challenge of solar power is its uncontrollable fluctuation since it is highly depending on other weather variables. Thus, forecasting energy generation is important for smart grid operators and solar electricity providers since they are required to ensure the power continuity in order to dispatch and properly prepare to store the energy. In this study, we propose an efficient comparison framework for forecasting the solar power that will be generated 36 h in advance from Yeongam solar power plant located in South Jeolla Province, South Korea. The results show a comparative analysis of the state-of-the-art techniques for solar power generation.
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Mehar, Pramod Kumar y Mrs Madhu Upadhyay. "Power System Stability Study on Multi Machine Systems having DFIG Based Wind Generation System". SMART MOVES JOURNAL IJOSCIENCE 6, n.º 3 (10 de marzo de 2020): 27–30. http://dx.doi.org/10.24113/ijoscience.v6i3.279.

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Power system stability is related to principles of rotational motion and the swing equation governing the electromechanical dynamic behavior. In the special case of two finite machines the equal area criterion of stability can be used to calculate the critical clearing angle on the power system, it is necessary to maintain synchronism, otherwise a standard of service to the consumers will not be achieved. With the increasing penetration of doubly fed induction generators (DFIGs), the impact of the DFIG on transient stability attracts great attention. Transient stability is largely dominated by generator types in the power system, and the dynamic characteristics of DFIG wind turbines are different from that of the synchronous generators in the conventional power plants. The analysis of the transient stability on DFIG integrated power systems has become a very important issue. This paper is a review of three types of stability condition. The first type of stability, steady state stability explains the maximum steady state power and the power angle diagram. There are several methods to improve system stability in which some methods are explained.
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7

Hsieh, Hsien-Yi, Jingyu Ning, Yi-Ru Chen, Hsun-Chung Wu, Hua Li Chen, Chien-Ming Wu y Ray-Kuang Lee. "Direct Parameter Estimations from Machine Learning-Enhanced Quantum State Tomography". Symmetry 14, n.º 5 (25 de abril de 2022): 874. http://dx.doi.org/10.3390/sym14050874.

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With the power to find the best fit to arbitrarily complicated symmetry, machine-learning (ML)-enhanced quantum state tomography (QST) has demonstrated its advantages in extracting complete information about the quantum states. Instead of using the reconstruction model in training a truncated density matrix, we develop a high-performance, lightweight, and easy-to-install supervised characteristic model by generating the target parameters directly. Such a characteristic model-based ML-QST can avoid the problem of dealing with a large Hilbert space, but cab keep feature extractions with high precision, capturing the underlying symmetry in data. With the experimentally measured data generated from the balanced homodyne detectors, we compare the degradation information about quantum noise squeezed states predicted by the reconstruction and characteristic models; both are in agreement with the empirically fitting curves obtained from the covariance method. Such a ML-QST with direct parameter estimations illustrates a crucial diagnostic toolbox for applications with squeezed states, from quantum information process, quantum metrology, advanced gravitational wave detectors, to macroscopic quantum state generation.
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Hsieh, Hsien-Yi, Jingyu Ning, Yi-Ru Chen, Hsun-Chung Wu, Hua Li Chen, Chien-Ming Wu y Ray-Kuang Lee. "Direct Parameter Estimations from Machine Learning-Enhanced Quantum State Tomography". Symmetry 14, n.º 5 (25 de abril de 2022): 874. http://dx.doi.org/10.3390/sym14050874.

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With the power to find the best fit to arbitrarily complicated symmetry, machine-learning (ML)-enhanced quantum state tomography (QST) has demonstrated its advantages in extracting complete information about the quantum states. Instead of using the reconstruction model in training a truncated density matrix, we develop a high-performance, lightweight, and easy-to-install supervised characteristic model by generating the target parameters directly. Such a characteristic model-based ML-QST can avoid the problem of dealing with a large Hilbert space, but cab keep feature extractions with high precision, capturing the underlying symmetry in data. With the experimentally measured data generated from the balanced homodyne detectors, we compare the degradation information about quantum noise squeezed states predicted by the reconstruction and characteristic models; both are in agreement with the empirically fitting curves obtained from the covariance method. Such a ML-QST with direct parameter estimations illustrates a crucial diagnostic toolbox for applications with squeezed states, from quantum information process, quantum metrology, advanced gravitational wave detectors, to macroscopic quantum state generation.
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Cornett, Andrew Malcolm, Peter Laurich, Enrique Gardeta y Daniel Pelletier. "DESIGN OF A POWERFUL AND PORTABLE MULTIDIRECTIONAL WAVEMA". Coastal Engineering Proceedings, n.º 35 (23 de junio de 2017): 29. http://dx.doi.org/10.9753/icce.v35.structures.29.

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A new multidirectional wave generator with 72 independent paddles has been designed, fabricated and commissioned at the National Research Council labs in Ottawa, Canada. The wet-back piston-mode machine is installed in a new 50 m long by 30 m wide rectangular wave basin, where water depths can be varied over the range from 0 m up to 1.3 m. The new machine is believed to be unique in the world in that it combines the power and stroke required to generate multidirectional spectral wave conditions with significant wave heights exceeding 0.4 m together with the modularity and ease of portability required to move the machine quickly and safely to new positions. The new machine can also be sub-divided to form several shorter machines if desired. The new wave generator features lightweight, composite materials, energy efficient regenerative power supplies, state-of-the-art software and control systems, including capabilities for active wave absorption (reflection compensation), second-order wave generation for improved generation of nonlinear sub- and super-harmonics, side-wall reflection, and more. The design of this new directional wavemaker is described and several of the more innovative features are highlighted in this paper.
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Li, Sheng, Xinhua Yao y Jianzhong Fu. "Power output characterization assessment of thermoelectric generation in machine spindles for wireless sensor driving". Sensor Review 34, n.º 2 (17 de marzo de 2014): 192–200. http://dx.doi.org/10.1108/sr-03-2013-642.

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Purpose – For using wireless sensors to monitor spindle units without opening the spindle shell to replace the battery, harvesting the waste heat from spindle units of machine tools for thermoelectric generation to drive wireless sensors is studied in this paper. The paper aims to discuss these issues. Design/methodology/approach – In this paper, the thermal network method and the analogies between electrical and thermal domains are used in the simulation of power output performance of thermoelectric generation on a rotating spindle. After that, experiments are done to obtain the real power output performance of the generation and evaluate the feasibility to drive wireless sensors. Findings – The paper provides that the output voltage of the thermoelectric generations was nearly linear with the rotating speed of the spindle, the output voltage was sensitive to the fixed position of the generations, and the thermoelectric system could drive the wireless sensor well most of the time during continuous operation of the spindle. Research limitations/implications – It is found that the thermoelectric generation could not provide enough power in the early start-up stage of the spindle rotation, so a high-efficiency power manage system, which will be studied in the future research, is needed to handle this problem. Practical implications – The paper includes implications for the development of self-powered wireless sensors in the spindle unit for machine tool monitoring. Originality/value – The paper develops a model of the power output performance of thermoelectric generation on a rotating spindle and tests the feasibility to drive wireless sensors with this power.
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Tesis sobre el tema "Power state machine generation"

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Nehme, Mohamad Jaafar. "Next generation state-machine replication protocols for data centers". Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM077/document.

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De nombreux protocoles Total Order Broadcast uniformes ont été conçus au cours des 30 dernières années. Ils peuvent être classés en deux catégories: ceux qui visent une faible latence, et ceux qui visent à haut débit. Latence mesure le temps nécessaire pour effectuer un seul message diffusé sans prétention, alors que le débit mesure le nombre d'émissions que les processus peuvent compléter par unité de temps quand il y a discorde. Tous les protocoles qui ont été conçus pour autant faire l'hypothèse que le réseau sous-jacent ne sont pas partagées par d'autres applications en cours d'exécution. Ceci est une préoccupation majeure à condition que dans les centres de données modernes (aka Clouds), l'infrastructure de mise en réseau est partagée par plusieurs applications. La conséquence est que, dans de tels environnements, le total des protocoles afin de diffusion uniformes présentent des comportements instables.Dans cette thèse, j'ai conçu et mis en œuvre un nouveau protocole pour la Total Order Broadcast uniforme qui optimise la performance lorsqu'il est exécuté dans des environnements multi-Data Centers et le comparer avec plusieurs algorithmes de l'état de l'art.Dans cette thèse, je présente deux contributions. La première contribution est MDC-Cast un nouveau protocole pour Total Order Broadcast dans lesquelles il optimise les performances des systèmes distribués lorsqu'ils sont exécutés dans des environnements multi-centres de données. MDC-Cast combine les avantages de la multidiffusion IP dans les environnements de cluster et unicast TCP/IP pour obtenir un algorithme hybride qui fonctionne parfaitement entre les centres de données.La deuxième contribution est un algorithme conçu pour déboguer les performances dans les systèmes distribués en boîte noire. L'algorithme n'est pas encore publié car il nécessite plus de tests pour une meilleure généralisation
Many uniform total order broadcast protocols have been designed in the last 30 years. They can be classified into two categories: those targeting low latency, and those targeting high throughput. Latency measures the time required to complete a single message broadcast without contention, whereas throughput measures the number of broadcasts that the processes can complete per time unit when there is contention. All the protocols that have been designed so far make the assumption that the underlying network is not shared by other applications running. This is a major concern provided that in modern data centers (aka Clouds), the networking infrastructure is shared by several applications. The consequence is that, in such environments, uniform total order broadcast protocols exhibit unstable behaviors.In this thesis, I provide two contributions. The first contribution is MDC-Cast a new protocol for total order broadcasts in which it optimizes the performance of distributed systems when executed in multi-data center environments. MDC-Cast combines the benefits of IP-multicast in cluster environments and TCP/IP unicast to get a hybrid algorithm that works perfectly in between datacenters.The second contribution is an algorithm designed for debugging performance in black-box distributed systems. The algorithm is not published yet due to the fact that it needs more tests for a better generalization
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2

Ure, K. A. N. "The generation of short, tunable high power optical pulses". Thesis, University of Southampton, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383874.

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Chien, Chang-Hsin. "On the steady-state harmonic performance of subsea power cables used in offshore power generation schemes". Thesis, University College London (University of London), 2007. http://discovery.ucl.ac.uk/1445362/.

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This thesis reports upon investigations undertaken into the electrical performance of high power subsea transmission cables and is specifically focused upon their harmonic behaviour, an understanding of which is fundamental for developing accurate computer based models to evaluate the performance of existing or new offshore generation schemes. A comprehensive literature search has been undertaken in the areas of offshore generation, offshore power transmission schemes and harmonic performance of subsea cable systems. Subsea cable configurations, types and anatomy are presented to give an appreciation of the arrangement of subsea power cables. Mathematical equations and computer based algorithms have been developed to model subsea transmission system behaviour where the electrical parameters derived from natural physical phenomena such as skin effects, proximity effects and mutual couplings are included. Proximity effect is examined to determine the consequences of whether it needs to be considered for each subsea cable arrangement. Bonding solutions for subsea transmission are investigated to study the effect they have on resonance frequency and harmonic response for different cable lengths. The resulting analysis for various cable arrangements explains how geometric arrangements affect the harmonic impedance and harmonic resonance. The harmonic distortion in HVAC offshore transmission systems is also studied to demonstrate the importance of considering all power components in a subsea power transmission system for harmonic evaluation. In addition, the harmonic distortions of the VSC- HVDC link and associated harmonic power loss are examined. The effects of switching frequency, smoothing capacitor bank size, cable materials and transmission method on harmonic performances of the VSC-HVDC system with varying cable lengths is discussed and therefore subsea power cable harmonic behaviour interacted with subsea transmission systems is investigated. The novel contribution of this work is claimed to be in the development of superior models of subsea cables, transmission schemes and associated performance studies, which should lead to significant improvements over existing models and their results.
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Sadri, Ali Soheil. "Novel adaptive power and rate control in third generation wideband CDMA mobile systems". Raleigh, NC : North Carolina State University, 2000. http://www.lib.ncsu.edu/etd/public/etd-28371415410011351/etd.pdf.

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Kanduri, Venkata Ramanujam. "Distributed generation impact on fault response of a distrubution [i.e., distribution] network". Master's thesis, Mississippi State : Mississippi State University, 2004. http://library.msstate.edu/etd/show.asp?etd=etd-11122004-151757.

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Abokhatwa, Salah G. "Distributed nonlinear state-dependent model predictive control and estimation for power generation plants". Thesis, University of Strathclyde, 2014. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=23207.

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Centralized model predictive control (MPC) is often considered impractical, inflexible and unsuitable for controlling large-scale systems due to several factors such as large computational effort and difficulty to meet all operational objectives. Therefore, industrial large-scale systems are usually controlled by a distributed control framework. In this thesis, novel sequential nonlinear Distributed Model Predictive Control (DMPC) algorithms for large-scale systems that can handle constraints are proposed. The proposed algorithms are based on nonlinear MPC strategy, which uses a state-dependent nonlinear model to reduce the complexity of solving optimization problem. In this distributed framework, the overall system is divided into several interconnected subsystems and each subsystem is controlled by local MPC. These local MPCs solve convex optimization problem and exchange information via one directional communication channel at each sampling time to achieve the global performance. The proposed algorithms are applied to an industrial power plant model to improve power generation efficiency. A non-linear dynamic model of Combined Cycle Power Plant (CCPP) using the laws of physics was first developed and simulated using decentralized PID controllers. Then, a supervisory controller using linear constrained MPC was designed to tune the performance of the PID controllers. Next, a supervisory centralized nonlinear model predictive control (NMPC) algorithm based on state-dependent models was developed to control the nonlinear plant over a wide operating range. Finally, two sequential DMPC algorithms based on state-dependent models were developed. The lack of states measurement were handled by designing nonlinear distributed state estimation algorithms using state-dependent differential Riccati equation (SDDRE) Kalman filter. Numerical simulation results show that the performance of the proposed DMPC algorithms is close to the centralized NMPC but computationally more efficient compared to the centralized one.
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7

Landry, Michael. "Telemetry Format Compiler for the Generation of State machine Code Executed by a PCX Encoder". International Foundation for Telemetering, 1990. http://hdl.handle.net/10150/613763.

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International Telemetering Conference Proceedings / October 29-November 02, 1990 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Telemetry encoders commonly use programmable memory devices for the storage of data used to control the multiplexed output format. The manual generation of this program control information is tedious and error prone. A telemetry format compiler has been developed to automate this process. A high level definition of the format information is processed to result in a binary object file which is programmed into the memory of the encoder and executed by the state machine controlling the encoding.
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Guan, Bo. "DESIGN AND CONTROL OF A HIGH-EFFICIENCY DOUBLY-FED BRUSHLESS MACHINE FOR POWER GENERATION APPLICATIONS". The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406240037.

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Sham, Devin Krishna. "Analysis of exhaust waste heat recovery techniques from stationary power generation engines using organic rankine cycles". Master's thesis, Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-11072008-123311.

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Todeschini, Grazia. "Wind Energy Conversion Systems based on DFIG Technology used as Active Filters: Steady-State and Transient Analysis". Digital WPI, 2010. https://digitalcommons.wpi.edu/etd-dissertations/97.

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This thesis deals with the performance of a Wind Energy Conversion System operating as a power generator and Active Filter simultaneously. As a power generator, the Wind Energy Conversion System converts wind energy into electric energy; as an Active Filter, it sinks the harmonic currents injected by Non-Linear Loads connected at the same feeder. Three control systems are developed to ensure the described operation; a specific study regarding the compensation of the triplen harmonics is carried out; Doubly-Fed Induction Generator derating is defined; and an engineering economic analysis is performed to determine the profitability of the proposed operation. The Wind Energy Conversion System performance as generator and Active Filter has been studied for steady-state analysis, fast transients and low transients. It is concluded that the proposed control systems allow operating the Wind Energy Conversion System as power generator and harmonic compensator both during steady state and transient operation; the described operation causes power loss increase and voltage distortion that determine the choice of the component and require system derating.
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Libros sobre el tema "Power state machine generation"

1

Amadi, Sam. Enhanced power supply: State investment, tariff, and distributed generation. Nigeria: Nigerian Electricity Regulatory Commission (NERC), 2011.

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Glausch, A. On the expressive power of unbounded-nondeterministic abstract state machines. Berlin: Humboldt-Universität zu Berlin, 2006.

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Glausch, A. Distributed abstract state machines and their expressive power. Berlin: Humblot-Universität zu Berlin, 2006.

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Doubly fed induction machine: Modeling and control for wind energy generation applications. Hoboken, NJ: IEEE Press, 2011.

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S, Dhillon B. Human reliability, error, and human factors in power generation. Cham: Springer, 2014.

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Goc, Aleksandr. Dynamics of engines. Course design. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1055672.

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Brief data from theory in the discipline "Theory of engines" and the order of execution of the course project. In a compact form the basic formulas and clarifications for the implementation of the relevant parts of the course project. As an example, the calculation-explanatory note and drawings done by a student course project review. Meets the requirements of Federal state educational standards of higher education of the last generation. Intended for students of day and correspondence forms of training areas of training 13.03.03 power mechanical engineering and 23.03.03 "Exploitation of transport and technological machines and complexes".
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Berberov, Sergey, Mihail Tamarkin, Galina Prokopec y Valeriy Lebedev. Technological equipment. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1037188.

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General information about devices, their classification and structure is presented; theoretical bases of basing, taking into account the specifics of the choice of basing schemes when choosing technological bases; designs of the main elements of machine tools, methods of their precision and power calculations of devices; design features of devices for various technological systems of mechanical processing, including CNC; features of control and measuring devices; individual issues of mechanization, automation, unification and standardization of devices; methods of designing special devices. Special attention is paid to the educational and methodological support of practical training of specialists. Meets the requirements of the federal state educational standards of secondary vocational education of the latest generation. It is intended for students of secondary vocational education institutions studying in the specialty 15.02.08 "Technology of mechanical engineering".
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Very large scale PV power: State of the art and into the future. Abingdon, Oxon [England]: Routledge, 2013.

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United States. Congress. House. Committee on Science and Technology. Subcommittee on Energy Development and Applications. The current state and future prospects of the U.S. photovoltaics industry: Hearings before the Subcommittee on Energy Development and Applications of the Committee on Science and Technology, House of Representatives, Ninety-eighth Congress, second session, September 11, 19, 1984. Washington: U.S. G.P.O., 1985.

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Kravchenko, Igor. Technological processes in the technical service of machinery and equipment. ru: INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/25226.

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Described in the textbook theoretical bases, organizational aspects of technical service of machinery and equipment, and the use of resource-saving technologies of recovery and strengthening. Methods are described for the deposition of coatings of various functional purposes, equipment and materials. Summarizes the results of theoretical and experimental studies of domestic and foreign researchers. Reviewed test methods and properties of the coatings, and given the scope of their effective use at the enterprises of technical service. Meets the requirements of Federal state educational standard of higher education of the last generation. Addressed to students of undergraduate and graduate students by specialty "Agroengineering" and technical workers agricultural, engineering, power, metallurgical and other industries.
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Capítulos de libros sobre el tema "Power state machine generation"

1

Bui, Anh-Tu, Hong-Anh Le y Ninh-Thuan Truong. "Generation of Power State Machine for Android Devices". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 48–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77818-1_5.

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Cao, Bei y Yongsheng Wang. "Generation of Low Power SSIC Sequences". En Machine Learning and Intelligent Communications, 285–93. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73447-7_32.

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Baruch, Moran y Gil David. "Domain Generation Algorithm Detection Using Machine Learning Methods". En Cyber Security: Power and Technology, 133–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75307-2_9.

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Zebarjadi, Mona. "Power Generation Using Solid-State Heat Engines". En Women in Nanotechnology, 71–83. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19951-7_6.

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Weber, Michael. "An Embeddable Virtual Machine for State Space Generation". En Model Checking Software, 168–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73370-6_12.

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Eltamaly, Ali M., Yehia Sayed Mohamed, Abou-Hashema M. El-Sayed y Amer Nasr A. Elghaffar. "Wind Distributed Generation with the Power Distribution Network for Power Quality Control". En Enabling Machine Learning Applications in Data Science, 131–49. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6129-4_10.

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Yáñez, César. "Electricity Generation and Electric Power in Chile Before 1975". En Capitalists, Business and State-Building in Chile, 217–45. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14152-3_8.

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Zachariadis, Theodoros y Costas Hadjikyriakou. "State of the Art of Power Generation in Cyprus". En Social Costs and Benefits of Renewable Electricity Generation in Cyprus, 7–16. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31535-5_2.

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Fowdur, T. P., Y. Beeharry y K. Aucklah. "A Machine Learning Approach for Idle State Network Anomaly Detection". En Smart and Sustainable Engineering for Next Generation Applications, 205–14. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18240-3_19.

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Lee, Christopher H. T. "Proposed Flux-Reversal DC-Field Machine for Wind Power Generation". En Springer Theses, 91–109. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7077-8_6.

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Actas de conferencias sobre el tema "Power state machine generation"

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de Bulnes, Darian Reyes Fernandez y Yazmin Maldonado. "VHDL code generation as State Machine from a Data Flow Graph". En 2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). IEEE, 2016. http://dx.doi.org/10.1109/ropec.2016.7830518.

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Xinghua Liu, Peng Gao, Kecun Han, Xuebin Lv, Chao Yang, Tongping Xie, Yang Yu, Peng Sun, Hongshun Liu y Jian Guo. "State classification of transformer in the renewable power grid based on principal component analysis and support vector machine evaluation system". En 8th Renewable Power Generation Conference (RPG 2019). Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/cp.2019.0283.

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Cheng, Dah Yu y Albert L. C. Nelson. "Universal Electric Machine for the Start-Up and Power Generation of Large Frame Size Gas Turbines". En ASME Turbo Expo 2002: Power for Land, Sea, and Air. ASMEDC, 2002. http://dx.doi.org/10.1115/gt2002-30152.

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The Universal Electric Machine (UEM) separates the speed of the magnetic field on the rotor from the mechanical speed of the rotor. This fundamental ability has numerous consequences that are very appealing in the power industry. The UEM is capable of generating AC power at a frequency that is independent of the mechanical drive speed on the rotor. Thus the UEM generator is a single product that can efficiently convert power into either 50 Hz or 60 Hz regardless of prime mover speed. The UEM maintains a steady-state frequency through a load transient, however severe, from full load to no load or vice versa. As a motor, the UEM uses this same ability to control speed independently of line frequency. The UEM simulates the torque-rpm characteristics of a large mechanical prime mover as the torque increases with mechanical speed. The UEM is capable of automatic synchronization of the electrical output/input to the power source, in frequency, phase angle and voltage. Finally by using modern power electronics, the configuration of the machine is brushless. These properties are ideally suited for both startup and power generation of large gas turbines. The UEM is under development and testing. A patent has been granted in the United States and international patent applications are being submitted.
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McDonald, A. S., M. Benatmane y M. A. Mueller. "A multi-stage axial flux permanent magnet machine for direct drive wind turbines". En IET Conference on Renewable Power Generation (RPG 2011). IET, 2011. http://dx.doi.org/10.1049/cp.2011.0105.

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Anjiki, Takuya, Kanta Matsubayashi y Shunji Maeda. "Utilization of the Infrared Image Capturing Combustion State for Estimating the Steam Flow Aming to Stabilize Garbage Power Generation". En 2019 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2019. http://dx.doi.org/10.1109/icmlc48188.2019.8949303.

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Pinelli, M., P. R. Spina y M. Venturini. "Optimized Operating Point Selection for Gas Turbine Health State Analysis by Using a Multi-Point Technique". En ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38191.

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Gas turbine operating state determination can be performed using Gas Path Analysis (GPA) techniques, which use measurements taken on the machine to calculate the characteristic parameters that are indices of the machine health state. The number and type of characteristic parameters that can be evaluated depend on the number and type of the available measured variables. Thus, when there are not enough measured variables to determine all the characteristic parameters, some of them have to be estimated independently of the actual gas turbine health state. In this way, variations due to aging or deterioration which, in the actual machine, may occur on these last characteristic parameters, cause estimation errors on the characteristic parameters assumed as problem unknowns. The available instrumentation in field applications is often inadequate to ensure reliable operating state analysis when GPA-based techniques are used. This problem may be partially overcome using a multiple operating point minimization technique. This consists of the determination of the characteristic parameters that minimize the sum of the square differences between measured and computed values of the measurable variables in multiple operating points. In this way the lack of data is overcome by data obtained in different operating points. This paper describes a procedure for gas turbine operating state determination based on a multiple operating point minimization technique and presents a study aimed at selecting the best set and number of operating points that should be used.
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Fu Qin-cui, Liu Zi-ying y Fu Ke-jia. "Implementation of IEC60870-5-104 protocol based on finite state machines". En 2009 International Conference on Sustainable Power Generation and Supply. SUPERGEN 2009. IEEE, 2009. http://dx.doi.org/10.1109/supergen.2009.5348268.

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Danese, Alessandro, Graziano Pravadelli y Ivan Zandonà. "Automatic Generation of Power State Machines through Dynamic Mining of Temporal Assertions". En Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE). Singapore: Research Publishing Services, 2016. http://dx.doi.org/10.3850/9783981537079_0278.

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Elghali, S. E. Ben, M. E. H. Benbouzid y J. F. Charpentier. "Marine Tidal Current Electric Power Generation Technology: State of the Art and Current Status". En 2007 IEEE International Electric Machines and Drives Conference, IEMDC07. IEEE, 2007. http://dx.doi.org/10.1109/iemdc.2007.383635.

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Marabella, Leonard J. "Diode Pumped Solid State Lasers for High Power Precision Machining". En Semiconductor Lasers: Advanced Devices and Applications. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/slada.1995.mc.2.

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The objective of the Precision Laser Machining Technology Reinvestment Project (PLM TRP) is to develop the next generation laser machine tools and advanced manufacturing processes for both commercial and military applications. This is a government-industry cost share program sponsored by the Advanced Research Projects Agency (ARPA) to provide the most advanced and affordable US military systems, and the most competitive commercial products in the global marketplace for the automotive, aircraft/aerospace, heavy equipment, and shipbuilding industries. To accomplish the objective a Consortium of 20 organizations that represent industrial users, process developers, system integrators and technology developers has been established forming a user-driven, horizontally and vertically integrated team.
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Informes sobre el tema "Power state machine generation"

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Langstrand, Jens-Patrick, Rob McDonald y Hoa Nguyen. Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning. Office of Scientific and Technical Information (OSTI), noviembre de 2020. http://dx.doi.org/10.2172/1768572.

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Krishna, C. R. y R. McDonald. Investigation of the Potential for Biofuel Blends in Residual Oil-Fired Power Generation Units as an Emissions Reduction Strategy for New York State. Office of Scientific and Technical Information (OSTI), mayo de 2009. http://dx.doi.org/10.2172/1015131.

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Langstrand, Jens-Patrick, Hoa Nguyen y Robert McDonald. Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning. Light Water Reactor Sustainability Program report. Office of Scientific and Technical Information (OSTI), agosto de 2019. http://dx.doi.org/10.2172/1560801.

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Javed, Umair, Aiza Hussain y Hassan Aziz. Demanding Power: Contentious Politics and Electricity in Pakistan. Institute of Development Studies (IDS), junio de 2021. http://dx.doi.org/10.19088/ids.2021.047.

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This paper explores Pakistan’s electricity supply crisis that lasted from 2007 to 2015, and the ensuing contention that shaped public discourse and political events in the country. During this period, which witnessed electricity outages of up to 14 hours per day, 456 incidents of contention took place, with just under 20 per cent escalating into some form of violence. Electricity became the number one political issue in the country and was integral in shaping the outcomes of the 2013 General Election. Following the election, public authorities undertook extensive investment to expand capacity and ensure consistency in supply while evading questions about affordability and sustainability. On the surface, this appears to be a case of extensive protest working towards shaping state responsiveness. And it is true that the state now sees supply as a non-negotiable aspect in the social contract with citizens. However, a range of factors contributed to the chronology and the selective, generation-focused nature of this response. On the other hand, citizen inclusion and participation in decision-making, and issues of affordability and sustainability, which impact vulnerable and disempowered groups the most, remain absent from the political and policy conversation around energy. This suggests that while protests were useful in generating a short-term response, their long-term legacy in empowerment related outcomes is less visible.
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Raychev, Nikolay. Can human thoughts be encoded, decoded and manipulated to achieve symbiosis of the brain and the machine. Web of Open Science, octubre de 2020. http://dx.doi.org/10.37686/nsrl.v1i2.76.

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This article discusses the current state of neurointerface technologies, not limited to deep electrode approaches. There are new heuristic ideas for creating a fast and broadband channel from the brain to artificial intelligence. One of the ideas is not to decipher the natural codes of nerve cells, but to create conditions for the development of a new language for communication between the human brain and artificial intelligence tools. Theoretically, this is possible if the brain "feels" that by changing the activity of nerve cells that communicate with the computer, it is possible to "achieve" the necessary actions for the body in the external environment, for example, to take a cup of coffee or turn on your favorite music. At the same time, an artificial neural network that analyzes the flow of nerve impulses must also be directed at the brain, trying to guess the body's needs at the moment with a minimum number of movements. The most important obstacle to further progress is the problem of biocompatibility, which has not yet been resolved. This is even more important than the number of electrodes and the power of the processors on the chip. When you insert a foreign object into your brain, it tries to isolate itself from it. This is a multidisciplinary topic not only for doctors and psychophysiologists, but also for engineers, programmers, mathematicians. Of course, the problem is complex and it will be possible to overcome it only with joint efforts.
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Ayele, Seife y Vianney Mutyaba. Chinese-Funded Electricity Generation in Sub-Saharan Africa and Implications for Public Debt and Transition to Renewable Energy. Institute of Development Studies (IDS), noviembre de 2021. http://dx.doi.org/10.19088/ids.2021.063.

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While China has been increasingly contributing to the recent growth in electricity generation in sub-Saharan Africa (SSA), the effects of China-funded investment on host countries’ debt burden and transition to renewable energy sources have not been sufficiently explored. Drawing on secondary data, combined with deep dive studies of Ethiopia and Uganda, this paper shows that despite significant liberalisation of the power sector in SSA, Chinese investments in the electricity industry continue to follow state-led project contract-based models. We show that this approach has failed to encourage Chinese firms to build compelling investment portfolios for competitive procurements within the region and, instead and inadvertently, it has exacerbated the debt burden of host country governments. Second, in spite of the global drive towards climate resilient energy generation, Chinese funding of electricity generation in SSA is not sufficiently channelled towards modern renewable energy sources such as wind and solar power that could reduce vulnerability to climate change. While recognising that the private sector-led competitive model of power generation is not without limitations, we argue that SSA’s electricity generation strategy that leads to less public debt and more climate resilience involves increased involvement of Chinese investment in the competitive model, with more diversification of such investment portfolios towards modern renewables such as wind and solar energy resources.
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Mante, Ofei D. Sub-Saharan Africa Is Lighting Up: Uneven Progress on Electrification. RTI Press, noviembre de 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0056.1811.

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This research paper provides a regional review of the state of electricity access in Sub-Saharan Africa (SSA), focusing on installed capacity, electricity generation, the growth of renewable energy, electricity consumption, government investment, public financial flows, and several major initiatives. The study contrasts electrification between 1990 and 2010 with recent efforts and identifies countries that are consistently making progress and those that lag. The analyses show signs of progress on scaling up SSA power infrastructure and increasing electricity access, particularly in the Eastern and Western sub-regions. The installed generation capacity expanded at an average rate of 2.43 GW/year between 2005 and 2015. Renewable energy is growing, particularly solar, wind, and geothermal; about 9.7 GW of renewable energy capacity was installed between 2010 and 2016. Over this period, the net electricity generation in SSA increased at 9.1 TWh/year, more than double the historical average growth of 4.02 TWh/year (1990–2010). In general, the study found that rates of electrification across the entire region are more than twice the historical rates, and an average of at least 26 million people are now gaining access to electricity yearly. Nevertheless, progress is uneven across SSA. As of 2016, almost half of the population without electricity access live in Nigeria, DR Congo, Ethiopia, Tanzania, and Uganda. Quantitative analysis suggests that about 70 million people in SSA would have to gain access every year from 2017 to achieve universal access by 2030. Overall, SSA countries with national programs on energy access supported by policy/regulatory framework and infrastructure investment are making progress.
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Rusk, Todd, Ryan Siegel, Linda Larsen, Tim Lindsey y Brian Deal. Technical and Financial Feasibility Study for Installation of Solar Panels at IDOT-owned Facilities. Illinois Center for Transportation, agosto de 2021. http://dx.doi.org/10.36501/0197-9191/21-024.

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The Smart Energy Design Assistance Center assessed the administrative, technical, and economic aspects of feasibility related to the procurement and installation of photovoltaic solar systems on IDOT-owned buildings and lands. To address administrative feasibility, we explored three main ways in which IDOT could procure solar projects: power purchase agreement (PPA), direct purchase, and land lease development. Of the three methods, PPA and direct purchase are most applicable for IDOT. While solar development is not free of obstacles for IDOT, it is administratively feasible, and regulatory hurdles can be adequately met given suitable planning and implementation. To evaluate IDOT assets for solar feasibility, more than 1,000 IDOT sites were screened and narrowed using spatial analytic tools. A stakeholder feedback process was used to select five case study sites that allowed for a range of solar development types, from large utility-scale projects to small rooftop systems. To evaluate financial feasibility, discussions with developers and datapoints from the literature were used to create financial models. A large solar project request by IDOT can be expected to generate considerable attention from developers and potentially attractive PPA pricing that would generate immediate cash flow savings for IDOT. Procurement partnerships with other state agencies will create opportunities for even larger projects with better pricing. However, in the near term, it may be difficult for IDOT to identify small rooftop or other small on-site solar projects that are financially feasible. This project identified two especially promising solar sites so that IDOT can evaluate other solar site development opportunities in the future. This project also developed a web-based decision-support tool so IDOT can identify potential sites and develop preliminary indications of feasibility. We recommend that IDOT begin the process of developing at least one of their large sites to support solar electric power generation.
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