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Model-Based Fault Diagnosis Techniques

Design Schemes, Algorithms and Tools

  • 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 3-11
    3. Steven X. Ding
      Pages 21-50
  3. Residual Generation

    1. Front Matter
      Pages 69-69
    2. Steven X. Ding
      Pages 71-116
    3. Steven X. Ding
      Pages 117-161
  4. Residual Evaluation and Threshold Computation

  5. Fault Detection, Isolation and Identification Schemes

    1. Front Matter
      Pages 367-367
    2. Steven X. Ding
      Pages 369-403
    3. Steven X. Ding
      Pages 405-440
    4. Steven X. Ding
      Pages 441-469
  6. Back Matter
    Pages 491-501

About this book

Introduction

Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools.

This second edition of Model-Based Fault Diagnosis Techniques contains:

·         new material on fault isolation and identification, and fault detection in feedback control loops;

·         extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises;

  • addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and

    ·         enhanced discussion of residual evaluation in stochastic processes.

    Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

    Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

·         enhanced discussion of residual evaluation in stochastic processes.

Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

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

Fault Detection and Isolation Fault Diagnosis Fault-tolerant Techniques Model-based Methods Process Monitoring

Authors and affiliations

  • Steven X. Ding
    • 1
  1. 1.Inst. Autom.technik & Kompl. Syst. (AKS)Universität Duisburg-EssenDuisburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4799-2
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-4798-5
  • Online ISBN 978-1-4471-4799-2
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site