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Helpful for the study on model based FDI theory and technique
Most methods are given in the form of an algorithm that enables a direct implementation in a programme
Comparisons among different methods are included when possible
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.
Content Level »Research
Keywords »FDI in control systems - Model based fault detection and diagnosis - advanced control theory - algorithm - algorithms - complexity - fault isolation and identification - model - modeling - observer methods - process monitoring - robustness
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.