Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools. brThis second edition of Model-Based Fault Diagnosis Techniques contains: br. new material on fault isolation and identification and alarm management; br. extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises; br. addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and br. enhanced discussion of residual evaluation which now deals with stochastic processes. brModel-based Fault Diagnosis Techniques will interest academic researchers working in fault identification and diagnosis and as a text it is suitable for graduate students in a formal university-based course or as a self-study aid for practising engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.
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Titolo: Model-Based Fault Diagnosis Techniques
Autore:
Ding Steven X.
Editore: Springer Verlag
Data di Pubblicazione: 2013
Pagine: 501
Formato: 2
ISBN: 9781447147985