Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications

This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes, with more weighting placed on the development of theory and methodologies. A comprehensive and systematic study on fault diagnosis for LDTV systems is provided, covering H-optimization-based fault diagnosis, H-filtering-based fault diagnosis, parity space-based fault diagnosis, Krein space technique-aided fault detection and fault estimation, and their typical applications in linear/nonlinear processes such as satellite attitude control systems and INS/GPS systems. This book benefits researchers, engineers, and graduate students in the fields of control engineering, electrical and electronic engineering, instrumentation science, and optoelectronic engineering.

Focuses on comprehensive handling of fault diagnosis issues for LDTV systems both in theory and practice Covers in-depth studies on fault diagnosis with robust optimization approaches Presents typical applications of the methods in practical engineering systems

Auteur

Maiying Zhong received the Ph.D. degree in control theory and control engineering from the Northeastern University, Shenyang, China, in 1999. From 2000 to 2001, she was Visiting Scholar with the University of Applied Sciences Lausitz, Germany. From 2002 to July 2008, she was Professor with the School of Control Science and Engineering at Shandong University. From 2006 to 2007, she was Postdoctoral Researcher Fellow with the Central Queensland University, Australia. From 2009 to 2016, she was Professor with the School of Instrument Science and Opto-Electronics Engineering, Beihang University. In March 2016, she joined Shandong University of Science and Technology, Qingdao, China, where she is currently Professor with the College of Electrical Engineering and Automation. Her research interests are fault diagnosis, fault-tolerant control, and their applications. Ting Xue received the M.S. degree in Instrumentation Science and Technology from Beihang University, Beijing, China, in 2016, and Ph.D. degree in Electrical Engineering and Information Technology from the University of Duisburg-Essen, Duisburg, Germany, in 2020. She is currently a post-doctoral with Shandong University of Science and Technology, Shandong, China. Her research interests include fault diagnosis and fault-tolerant control and their applications. Steven X. Ding received Ph.D. degree in electrical engineering from the GerhardMercator University of Duisburg, Germany, in 1992. From 1992 to 1994, he was a R&D engineer at Rheinmetall GmbH. From 1995 to 2001, he was a professor of control engineering at the University of Applied Science Lausitz in Senftenberg, Germany, and served as a vice-president of this university during 1998 2000. He is currently a full professor of control engineering and the head of the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg Essen, Germany. His research interests are model-based and data-driven fault diagnosis, fault-tolerant systems, real-time control, and their application in industry with a focus on automotive systems and chemical processes. Donghua Zhou received the B.Eng., M.Sci., and Ph.D. degrees in electrical engineering from Shanghai Jiaotong University, Shanghai, China, in 1985, 1988, and 1990, respectively. He was an Alexander von Humboldt Research Fellow with the University of Duisburg, Germany, from 1995 to 1996, and Visiting Scholar with the Yale University, New Haven, CT, USA, from 2001 to 2002. He joined Tsinghua University, Beijing, China, in 1996, and was promoted as Full Professor in 1997; he was the head of the department of automation, Tsinghua University, Beijing, China, during 2008 and 2015. He is now a Vice-President, Shandong University of Science and Technology, Qingdao, China, and a Joint Professor with Tsinghua University. He has authored and coauthored over 210 peer-reviewed international journal papers and seven monographs in the areas of fault diagnosis, fault-tolerant control, reliability prediction, and optimal maintenance. Dr. Zhou is Fellow of IEEE/IET/CAA, Member of IFAC TC on SAFEPROCESS, Associate Editor of the Journal of Process Control, Vice-Chairman of Chinese Association of Automation (CAA), and the TC Chair of the SAFEPROCESS committee, CAA. He was also the NOC Chair of the 6th IFAC Symposium on SAFEPROCESS 2006.

Contenu
Chapter 1. Introduction.- Chapter 2. Paradigm of model-based fault detection and diagnosis.- Chapter 3. LDTV systems, and fault detection and estimation for LDTV systems.- Chapter 4. Krein space and Krein space-based optimization technique.- Chapter 5. H2 optimization-based fault detection for LDTV systems.- Chapter 6. Optimal fault detection for LDTV systems.- Chapter 7. A projection-based method of fault detection for LDTV systems.- Chapter 8. An Hi/H-optimization scheme of fault detection for LDTV systems.- Chapter 9. An Hi/H-optimization approach to event-triggered fault detection for LDTV systems.- Chapter 10. A scheme of optimal fault detection for LDTV systems with delayed state.- Chapter 11. A krein space approach to H fault estimation of LDTV systems.- Chapter 12. On designing H fault detection filter for LDTV systems.- Chapter 13. Krein space based H fault detection for LDTV systems with delayed state.- Chapter 14. Parity space-based fault detection for LDTV systemswith unknown input.- Chapter 15. Parity space-based fault estimation for LDTV systems.- Chapter 16. Event-triggered parity space approach to fault detection for LDTV systems.- Chapter 17. Stationary wavelet transform aided fault detection for LDTV systems.- Chapter 18. An extended H-/H optimization approach to fault detection for a class of nonlinear systems.- Chapter 19. Probability analysis of fault diagnosis performance for satellite attitude control systems.- Chapter 20. Hi/H optimization based fault detection for INS/GPS-integrated systems.- Chapter 21. Krein space based H fault estimation for discrete-time nonlinear systems.- Chapter 22. Adaptive in-flight alignment of INS/GPS systems for aerial mapping.- Chapter 23. On real time performance evaluation of the inertial sensors for INS/GPS integrated systems.- Chapter 24. Summary.