Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms And Tools (Advances In Industrial Control)

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.

• • Author: Steven Ding
• • Publisher: Springer
• • Publication Date: Jan 28, 2015
• • Number of Pages: 524 pages
• • Language: English
• • Binding: Paperback
• • ISBN-10: 1447161114
• • ISBN-13: 9781447161110