Advanced methods for fault diagnosis and fault-tolerant control

1. Front Matter

   Pages i-xxiii

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2. Introduction, Basic Concepts and Preliminaries

   1. Front Matter

      Pages 1-1

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   2. Introduction

      • Steven X. Ding

      Pages 3-30

   3. Basic Requirements on Fault Detection and Estimation

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      Pages 31-43

   4. Basic Methods for Fault Detection and Estimation in Static Processes

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      Pages 45-80

   5. Basic Methods for Fault Detection in Dynamic Processes

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      Pages 81-107

   6. Feedback Control, Observer and Residual Generation

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      Pages 109-121

3. Fault Detection, Isolation and Estimation in Linear Dynamic Systems

   1. Front Matter

      Pages 123-123

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   2. General Solutions of Optimal Fault Detection

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      Pages 125-140

   3. Fault Detection in Linear Time-Varying Systems

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      Pages 141-176

   4. Fault Estimation in Linear Dynamic Systems

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      Pages 177-204

   5. Detection and Isolation of Multiplicative Faults

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      Pages 205-263

4. Fault Detection in Nonlinear Dynamic Systems

   1. Front Matter

      Pages 265-265

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   2. Analysis and Design of Observer-Based Fault Detection Systems

      • Steven X. Ding

      Pages 267-293

   3. Parameterisation of Observer-Based Fault Detection Systems

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      Pages 295-307

   4. Optimal Fault Detection of a Class of Nonlinear Systems

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      Pages 309-326

5. Statistical and Data-driven Fault Diagnosis Methods

   1. Front Matter

      Pages 327-327

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   2. A Critical Review of MVA-based Fault Detection Methods

      • Steven X. Ding

      Pages 329-349

   3. Data-Driven Fault Detection in Large-Scale and Distributed Systems

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      Pages 351-424

   4. Alternative Test Statistics and Fault Detection Schemes

      • Steven X. Ding

      Pages 425-466

The major objective of this book is to introduce advanced design and (online) optimization methods for fault diagnosis and fault-tolerant control from different aspects. Under the aspect of system types, fault diagnosis and fault-tolerant issues are dealt with for linear time-invariant and time-varying systems as well as for nonlinear and distributed (including networked) systems. From the methodological point of view, both model-based and data-driven schemes are investigated.To allow for a self-contained study and enable an easy implementation in real applications, the necessary knowledge as well as tools in mathematics and control theory are included in this book. The main results with the fault diagnosis and fault-tolerant schemes are presented in form of algorithms and demonstrated by means of benchmark case studies. 
The intended audience of this book are process and control engineers, engineering students and researchers with control engineering background.

• distributed fault diagnosis
• fault detection
• fault detection and estimation
• fault-tolerant control
• model-based and data-driven methods
• nonlinear systems
• statistic and machine learning

• Universität Duisburg-Essen, Duisburg, Germany

  Steven X. Ding

Prof. Dr.-Ing. Steven X. Ding is head of the institute Automatic Control and Complex Systems (AKS) at the University of Duisburg, Germany. He received the Ph.D. degree in electrical engineering from the University of Duisburg in 1992. Between 1992 and 1994, he worked with Rheinmetall GmbH, Germany. From 1995 to 2001, he was professor of control engineering at the University of Applied Science Lausitz in Senftenberg, Germany, and was the the vice president of this university during 1998 – 2000. Since 2001, he has been a full professor of control engineering at the University of Duisburg-Essen. Prof. Ding has published three books and over 350 book contributions, journal and conference papers in the areas of model-based and data-driven fault diagnosis, process monitoring and control as well as their applications to the automotive, process and renewable energy industries.

Detailed information is available at AKS-website: http://aks.uni-due.de/htm/index.php?lang=en

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