Process Monitoring, Fault Diagnosis, and Tolerant Control for Complex Industrial Systems (Hardcover)

Hao Luo

ISBN 10: 9819690323 / ISBN 13: 9789819690329

Published by Springer Nature Switzerland AG, Cham, 2025

About this Item

Hardcover. This open access book details fault diagnosis, prognosis, and tolerant control for complex industrial systems. It is also dedicated to Professor Steven X. Ding for his retirement. This book proposes data-driven quality-related fault diagnosis schemes based on space projection for linear/nonlinear systems. It also introduces credible and efficient fault prognosis techniques for complex industrial systems. It combines fault detection and re-configuration toward the design of fault-tolerant control methods. It will be a useful reference for students and researchers working on fault diagnosis. This open access book details fault diagnosis, prognosis, and tolerant control for complex industrial systems. It also introduces credible and efficient fault prognosis techniques for complex industrial systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9789819690329

Bibliographic Details

• Title: Process Monitoring, Fault Diagnosis, and Tolerant Control for Complex Industrial Systems (Hardcover)
• Publisher: Springer Nature Switzerland AG, Cham
• Publication Date: 2025
• Language: English
• ISBN 10: 9819690323
• ISBN 13: 9789819690329
• Binding: Hardcover
• Condition: new

About this title

Synopsis

This open access book details fault diagnosis, prognosis, and tolerant control for complex industrial systems. It is also dedicated to Professor Steven X. Ding for his retirement. This book proposes data-driven quality-related fault diagnosis schemes based on space projection for linear/nonlinear systems. It also introduces credible and efficient fault prognosis techniques for complex industrial systems. It combines fault detection and re-configuration toward the design of fault-tolerant control methods. It will be a useful reference for students and researchers working on fault diagnosis.

 

About the Author

Prof. Hao Luo received the B.E. degree in electrical engineering from Xi’an Jiaotong University, Xi’an, China, in 2007, and the M.Sc. and Ph.D. degrees in electrical engineering and information technology from the University of Duisburg-Essen, Duisburg, Germany, in 2012 and 2016, respectively. He is currently Professor with the School of Astronautics, Harbin Institute of Technology, Harbin, China. His research interests include model-based and data-driven fault diagnosis, fault-tolerant systems, and their plug-and-play application on industrial systems.

Prof. Zhiwen Chen received the B.E. degree in electronic information science and technology and the M.Sc. degree in electronic information and technology from Central South University, Changsha, China, in 2008 and 2012, respectively, and the Ph.D. degree in electrical engineering and information technology from the University of Duisburg-Essen, Duisburg, Germany, in 2016. He is currently Professor at Central South University, Changsha, Hunan. His research interests include model-based and data-driven fault diagnosis, process monitoring, machine learning, and its application in industry.

Prof. Linlin Li received the B.E. degree in automation from Xi’an Jiaotong University, Xi’an, China, in 2008, the M.E. degree in mechanical systems and control from Peking University, Beijing, China, in 2011, and the Ph.D. degree in automatic control from the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany. She is now Professor with the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing. Her research interests include fault diagnosis and fault-tolerant control, fuzzy control, and estimation for nonlinear systems