Model-based Fault Diagnosis Techniques [electronic resource] : Design Schemes, Algorithms, and Tools / by Steven X. Ding.

By: Ding, Steven X [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextLanguage: English Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008Description: online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540763048Subject(s): Engineering | Computer system performance | System safety | Engineering | Control Engineering | Automation and Robotics | Quality Control, Reliability, Safety and Risk | System Performance and Evaluation | Mathematical Modeling and Industrial MathematicsAdditional physical formats: Printed edition:: No titleOnline resources: Click here to access online
Contents:
Introduction, basic concepts and preliminaries -- Basic ideas, major issues and tools in the observer-based FDI framework -- Modelling of technical systems -- Structural fault detectability, isolability and identifiability -- Residual generation -- Basic residual generation methods -- Perfect unknown input decoupling -- Residual generation with enhanced robustness against unknown inputs -- Residual generation with enhanced robustness against model uncertainties -- Residual evaluation and threshold computation -- Norm based residual evaluation and threshold computation -- Statistical methods based residual evaluation and threshold setting -- Integration of norm based and statistical methods -- Fault detection, isolation and identification schemes -- Integrated design of fault detection systems -- Fault isolation schemes -- On fault identification.
In: Springer eBooksSummary: A most critical and important issue surrounding the design of automatic control systems with the successively increasing complexity is guaranteeing a high system performance over a wide operating range and meeting the requirements on system reliability and dependability. As one of the key technologies for the problem solutions, advanced fault detection and identification (FDI) technology is receiving considerable attention. The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers.
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Introduction, basic concepts and preliminaries -- Basic ideas, major issues and tools in the observer-based FDI framework -- Modelling of technical systems -- Structural fault detectability, isolability and identifiability -- Residual generation -- Basic residual generation methods -- Perfect unknown input decoupling -- Residual generation with enhanced robustness against unknown inputs -- Residual generation with enhanced robustness against model uncertainties -- Residual evaluation and threshold computation -- Norm based residual evaluation and threshold computation -- Statistical methods based residual evaluation and threshold setting -- Integration of norm based and statistical methods -- Fault detection, isolation and identification schemes -- Integrated design of fault detection systems -- Fault isolation schemes -- On fault identification.

A most critical and important issue surrounding the design of automatic control systems with the successively increasing complexity is guaranteeing a high system performance over a wide operating range and meeting the requirements on system reliability and dependability. As one of the key technologies for the problem solutions, advanced fault detection and identification (FDI) technology is receiving considerable attention. The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers.

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