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Model-Based Fault Diagnosis

Methods for State-Space Systems

  • Book
  • © 2023

Overview

Authors:
  1. Zhenhua Wang

    1. School of Astronautics, Harbin Institute of Technology, Harbin, China

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  2. Yi Shen

    1. School of Astronautics, Harbin Institute of Technology, Harbin, China

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    You can also search for this author in PubMed   Google Scholar

  • Gives a comprehensive and detailed introduction of the model-based fault diagnosis methods
  • Studies the principles and implementations of model-based fault diagnosis methods in the state-space approach
  • Integrates the residual generation and residual evaluation in the fault detection and isolation

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 221)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Introduction

    • Zhenhua Wang, Yi Shen
    Pages 1-11

  3. Modelling for Fault Diagnosis

    • Zhenhua Wang, Yi Shen
    Pages 13-21

  4. Observer-Based Residual Generation

    • Zhenhua Wang, Yi Shen
    Pages 23-34

  5. Robust Residual Generation Based on Unknown Input Observer

    • Zhenhua Wang, Yi Shen
    Pages 35-45

  6. Optimal Robust Residual Generation

    • Zhenhua Wang, Yi Shen
    Pages 47-60

  7. Residual Evaluation Based on Threshold Computation

    • Zhenhua Wang, Yi Shen
    Pages 61-83

  8. Fault Isolation Based on Structured Residual Generation

    • Zhenhua Wang, Yi Shen
    Pages 85-114

  9. Fault Isolation Based on Directional Residual Generation

    • Zhenhua Wang, Yi Shen
    Pages 115-135

  10. Observer-Based Fault Estimation

    • Zhenhua Wang, Yi Shen
    Pages 137-156

  11. Kalman Filter-Based Fault Diagnosis

    • Zhenhua Wang, Yi Shen
    Pages 157-171

  12. Parity Space Approaches

    • Zhenhua Wang, Yi Shen
    Pages 173-200
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Keywords

About this book

This book investigates in detail model-based fault diagnosis methods, including observer-based residual generation, residual evaluation based on threshold computation, observer-based fault isolation strategies, observer-based fault estimation, Kalman filter-based fault diagnosis methods, and parity space approach. Studies on model-based fault diagnosis have attracted engineers and scientists from various disciplines, such as electrical, aerospace, mechanical, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of state-space approach. The methods introduced in the book are systemic and easy to follow. The book is intended for undergraduate and graduate students who are interested in fault diagnosis and state estimation, researchers investigating fault diagnosis and fault-tolerant control, and control system design engineers working on safety-critical systems.

Authors and Affiliations

  • School of Astronautics, Harbin Institute of Technology, Harbin, China

    Zhenhua Wang, Yi Shen

About the authors

Dr. Zhenhua Wang received his B.Sc. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2008 and his M.Sc. and Ph.D. degrees from Harbin Institute of Technology, Harbin, China, in 2010 and 2014, respectively. He is an associate professor with the Department of Control Science and Engineering at Harbin Institute of Technology. His research interests include fault diagnosis, set-membership estimation, and fault-tolerant control. Since 2012, Dr. Wang has published more than 30 peer-reviewed technical papers in international journals. He is a member of IEEE and served as a reviewer of several international journals and an IPC member of the 28th, 29th, 30th Mediterranean Conference on Control and Automation.  

Dr. Yi Shen received his B.Sc., M.Sc., and Ph.D. degrees from Harbin Institute of Technology in 1985, 1988, and 1995, respectively. He is a professor at Harbin Institute of Technology. His research interests include fault diagnosis, flight vehicle control, and ultrasound signal processing. 

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