Model-based Health Monitoring of Hybrid Systems (eBook) von Danwei Wang
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This book systematically presents a comprehensive framework and effective techniques for in-depth analysis, clear design procedure, and efficient implementation of diagnosis and prognosis algorithms for hybrid systems. It offers an overview of the fundamentals of diagnosisprognosis and hybrid bond graph modeling. This book also describes hybrid bond graph-based quantitative fault detection, isolation and estimation. Moreover, it also presents strategies to track the system mode and predict the remaining useful life under multiple fault condition. A real world complex hybrid systema vehicle steering control systemis studied using the developed fault diagnosis methods to show practical significance.
Readers of this book will benefit from easy-to-understand fundamentals of bond graph models, concepts of health monitoring, fault diagnosis and failure prognosis, as well as hybrid systems. The reader will gain knowledge of fault detection and isolation in complex systems including those with hybrid nature, and will learn state-of-the-art developments in theory and technologies of fault diagnosis and failure prognosis for complex systems.
Schlagwörter zu:
Model-based Health Monitoring of Hybrid Systems von Danwei Wang - mit der ISBN: 9781461473695
Bond Graph; Failure Prognosis; Fault Detection and Isolation; Fault Diagnosis; Global Analytical Redundancy Relations; Hybrid Bond Graph; Hybrid Systems; Mode Tracker; Model-based Health Monitoring; Remaining Useful Life; Sequential Causality Assignment Procedure for Hybrid Systems; Vehicle Steering System; complexity; B; Control, Robotics, Automation; Control and Systems Theory; Applied Dynamical Systems; System Performance and Evaluation; System Performance and Evaluation; Complexity; Control , Online-Buchhandlung
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