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Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 238 pages. 6.14x0.57x9.21 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Condizione: New. Dr. Gerasimos Rigatos obtained his diploma (1995) and his Ph.D. (2000) both from the Department of Electrical and Computer Engineering, of the National Technical University of Athens (NTUA), Greece. In 2001 he was a post-doctoral researcher at IRI.

Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 576 pages. 6.14x1.19x9.21 inches. In Stock.

Condizione: New.

Condizione: New. Dr. Gerasimos Rigatos obtained his diploma (1995) and his Ph.D. (2000) both from the Department of Electrical and Computer Engineering, of the National Technical University of Athens (NTUA), Greece. In 2001 he was a post-doctoral researcher at IRI.

Condizione: As New. Unread book in perfect condition.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

hardcover. Condizione: Very Good.

Hardback. Condizione: New. The present monograph offers a detailed and in-depth analysis of the topic of fault diagnosis for electric power systems and electric vehicles. It explores both model-based and model-free techniques for fault diagnosis and provides a solution for the problem of control of the marine-turbine and synchronous-generator unit and Fault diagnosis of the marine turbine and synchronous-generator unit. Additionally, it introduces innovative approaches for diagnosing faults in electricity microgrids and gas processing units.The new fault detection and isolation methods with statistical procedures for defining fault thresholds enable early fault diagnosis and reveal incipient changes in the parameters of the monitored systems.Key Features:Analyzes model-based fault detection and isolation methods. Known models about the dynamics of the monitored system are used by nonlinear state observers and Kalman Filters, which emulate the system's fault-free conditionAnalyzes model-free fault detection and isolation methods. Raw data are processed by neural networks and nonlinear regressors to generate models that emulate the fault-free condition of the monitored systemUtilizes statistical tests based on residual processing, which compare outputs from the monitored system to those of a fault-free model, providing objective and highly reliable criteria for identifying failuresEnables early fault diagnosis through new detection and isolation methods that use statistical procedures for defining fault thresholds, effectively revealing incipient changes in the parameters of monitored systems.…

Hardcover. Condizione: Brand New. 252 pages. 9.18x6.12x9.21 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. pp. 576.

Condizione: New. pp. 576 1st edition NO-PA16APR2015-KAP.

Condizione: New.

Hardback. Condizione: New. The present monograph offers a detailed and in-depth analysis of the topic of fault diagnosis for electric power systems and electric vehicles. It explores both model-based and model-free techniques for fault diagnosis and provides a solution for the problem of control of the marine-turbine and synchronous-generator unit and Fault diagnosis of the marine turbine and synchronous-generator unit. Additionally, it introduces innovative approaches for diagnosing faults in electricity microgrids and gas processing units.The new fault detection and isolation methods with statistical procedures for defining fault thresholds enable early fault diagnosis and reveal incipient changes in the parameters of the monitored systems.Key Features:Analyzes model-based fault detection and isolation methods. Known models about the dynamics of the monitored system are used by nonlinear state observers and Kalman Filters, which emulate the system's fault-free conditionAnalyzes model-free fault detection and isolation methods. Raw data are processed by neural networks and nonlinear regressors to generate models that emulate the fault-free condition of the monitored systemUtilizes statistical tests based on residual processing, which compare outputs from the monitored system to those of a fault-free model, providing objective and highly reliable criteria for identifying failuresEnables early fault diagnosis through new detection and isolation methods that use statistical procedures for defining fault thresholds, effectively revealing incipient changes in the parameters of monitored systems.…

Condizione: New.

Condizione: New. pp. 576.

Condizione: New. In English.

Hardback. Condizione: New. The present monograph offers a detailed and in-depth analysis of the topic of Intelligent Control for Electric Power Systems and Electric Vehicles. The monograph provides a comprehensive analysis of various control methods, including nonlinear optimal control, Lie algebra-based control, and differential flatness theory. It addresses the control of electric motors, VSI-fed PMSMs, and energy conversion chains based on PMSMs and induction machines. The work also explores multi-phase machines in gas processing, spherical permanent magnet synchronous motors, traction systems in electric and hybrid vehicles, and renewable power units alongside heat management systems.Key Features: Proposes new control methods meant to treat the control problem of the complex nonlinear dynamics of electric power systems and electric vehicles without the need for complicated state-space model transformations and changes of state variablesContains modular and scalable control schemes which can be applied to a large class of dynamic models of electric power systems and electric vehicles. They have a clear and easy-to- implement algorithmic part, while they also exhibit a moderate computational loadFosters the optimized exploitation of renewable energy sources and the reliable integration of renewable energy units in the power gridSuitable for teaching nonlinear control, estimation and fault diagnosis topics with emphasis to electric power systems and to electric vehicle traction and propulsion systems both at late undergraduate and postgraduate levels.…

Hardcover. Condizione: Brand New. 664 pages. 9.18x6.12x9.21 inches. In Stock.