Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools

di Steven X. Ding (Autore)

Springer London Ltd, 2015

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.

• Autore: Steven X. Ding
• Editore: Springer London Ltd
• Collana: Advances in Industrial Control
• Anno: 2015
• Rilegatura: Paperback / softback
• Pagine: 504 p.
• Dimensioni: 235 x 155 mm
• Peso: 1067 gr.
• EAN: 9781447161110

Testo in English