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

  • Steven X. Ding

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Introduction, Basic Concepts and Preliminaries

    1. Front Matter
      Pages 1-1
    2. Steven X. Ding
      Pages 3-10
    3. Steven X. Ding
      Pages 11-21
  3. Application of Multivariate Analysis Methods to Fault Diagnosis in Static Processes

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

    1. Front Matter
      Pages 133-133
    2. Steven X. Ding
      Pages 153-173
  5. Adaptive and Iterative Optimization Techniques for Data-Driven Fault Diagnosis

    1. Front Matter
      Pages 201-201
    2. Steven X. Ding
      Pages 203-222
  6. Data-Driven Design and Lifetime Management of Fault-Tolerant Control Systems

    1. Front Matter
      Pages 245-245
  7. Back Matter
    Pages 299-300

About this book

Introduction

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.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

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

Authors and affiliations

  • Steven X. Ding
    • 1
  1. 1.Institute for Automatic Control and Complex Systems (AKS)University of Duisburg-EssenDuisburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-6410-4
  • Copyright Information Springer-Verlag London 2014
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-6409-8
  • Online ISBN 978-1-4471-6410-4
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site