Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems

1. Front Matter

   Pages i-xx

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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 3-10

   3. Case Study and Application Examples

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      Pages 11-21

   4. Basic Statistical Fault Detection Problems

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      Pages 23-47

   5. Fault Detection in Processes with Deterministic Disturbances

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      Pages 49-70

3. Application of Multivariate Analysis Methods to Fault Diagnosis in Static Processes

   1. Front Matter

      Pages 71-71

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   2. Application of Principal Component Analysis to Fault Diagnosis

      • Steven X. Ding

      Pages 73-94

   3. Application of Partial Least Squares Regression to Fault Diagnosis

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      Pages 95-116

   4. Canonical Variate Analysis Based Process Monitoring and Fault Diagnosis

      • Steven X. Ding

      Pages 117-131

4. Data-Driven Design of Fault Diagnosis Systems for Dynamic Processes

   1. Front Matter

      Pages 133-133

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   2. Introduction, Preliminaries and I/O Data Set Models

      • Steven X. Ding

      Pages 135-152

   3. Data-Driven Diagnosis Schemes

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      Pages 153-173

   4. Data-Driven Design of Observer-Based Fault Diagnosis Systems

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      Pages 175-200

5. Adaptive and Iterative Optimization Techniques for Data-Driven Fault Diagnosis

   1. Front Matter

      Pages 201-201

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   2. Adaptive Fault Diagnosis Schemes

      • Steven X. Ding

      Pages 203-222

   3. Iterative Optimization of Process Monitoring and Fault Detection Systems

      • Steven X. Ding

      Pages 223-243

6. Data-Driven Design and Lifetime Management of Fault-Tolerant Control Systems

   1. Front Matter

      Pages 245-245

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   2. Fault-Tolerant Control Architecture and Design Issues

      • Steven X. Ding

      Pages 247-262

   3. Data-Driven Design of Observer-Based Control Systems

      • Steven X. Ding

      Pages 263-279

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.

• Data-driven Techniques
• Fault Detection and Isolation
• Fault Diagnosis
• Fault-tolerant Systems
• Process Monitoring

• Institute for Automatic Control and Complex Systems (AKS), University of Duisburg-Essen, Duisburg, Germany

  Steven X. Ding

In 1986, Steven X. Ding begun with the Ph D study/investigation on model-based FDI isusses. During his three years stay in industry, he had gained experiences with the applications of FDI techniques in real technical processes. In the last 17 years, he has been, as a university professor and institute head, involved in numerous national and international research grants and industrial projects in developing advanced FDI methods and their applications in different industrial sectors. He holds a lecture on fault diagnosis and fault-tolerant systems for master students and seminars on advanced FDI methods for PhD students at the University Duisburg-Essen and gives guest lectures/courses at other universities and research institutes. He has published more than 80 journal and 130 conference papers in this thematic area.

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