Model-Based Fault Diagnosis Techniques

Steven X. Ding

ISBN 10: 1447147987 / ISBN 13: 9781447147985

Published by Springer London Jan 2013, 2013

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 524 pp. Englisch.

Seller Inventory # 9781447147985

Bibliographic Details

• Title: Model-Based Fault Diagnosis Techniques
• Publisher: Springer London Jan 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 1447147987
• ISBN 13: 9781447147985
• Binding: Buch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 241W x 160H x 33D millimeters 241 millimeters width by 160 millimeters height by 33 millimeters depth
• Weight: 945 grams

About this title

Synopsis

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.

About the Author

Steven X. Ding began investigating issues concerned with model-based fault detection and identification in 1986 during his PhD. Following a three-year stay in industry, in which he gained experience with the application of FDI techniques in real technical processes, he returned to academia and during the last 17 years has become a university professor and institute head. He has been involved with numerous national and international research grants and industrial projects in the development of advanced FDI methods and their application in different sectors of industry. He teaches fault diagnosis and fault-tolerant systems to Masters students and advanced FDI methods to PhD students at the University of Duisburg-Essen. He has also guest-lectured and taught courses on these subjects at other universities and research institutes. Professor Ding has published more than 80 journal and 130 conference papers associated with the field of FDI.