This book gives readers a framework of model-based FDI techniques, helping them to become familiar with the basic ideas and schemes in a systematic way. Examples and benchmarks provide a means of practising the ideas and judging the methods described.

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.
This second edition of Model-Based Fault Diagnosis Techniques contains:
• new material on fault isolation and identification and alarm management;
• extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises;
• addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and
• enhanced discussion of residual evaluation which now deals with stochastic processes.
Model-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.

Autorentext

In 1986, Steven X. Ding begun with the Ph D study/investigation on model-based FDI isusses. During his three years stay in industry, he had gained experiences with the applications of FDI techniques in real technical processes. In the last 17 years, he has been, as a university professor and institute head, involved in numerous national and international research grants and industrial projects in developing advanced FDI methods and their applications in different industrial sectors. He holds a lecture on fault diagnosis and fault-tolerant systems for master students and seminars on advanced FDI methods for PhD students at the University Duisburg-Essen and gives guest lectures/courses at other universities and research institutes. He has published more than 80 journal and 130 conference papers in this thematic area.

Inhalt
Basic Ideas, Major Issues, and Tools in the Observer-Based FDI Framework.- Modelling of Technical Systems.- Structural Fault Detectability, Isolability and Identifiability.- Basic Residual Generation Methods.- Perfect Unknown Input Decoupling.- Residual Generation with Enhanced Robustness against Unknown Inputs.- Residual Generation with Enhanced Robustness against Model Uncertainties.- Norm-Based Residual Evaluation and Threshold Computation.- Statistical-Methods-Based Residual Evaluation and Threshold Setting.- Integration of Norm-Based and Statistical Methods.- Integrated Design of Fault Detection Systems.- Fault Isolation Schemes.