Advances in Industrial Control

Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

Authors: Simani, Silvio, Fantuzzi, Cesare, Patton, Ron J.

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About this book

Safety in industrial process and production plants is a concern of rising importance, especially if people would be endangered by a catastrophic system failure. On the other hand, because the control devices which are now exploited to improve the overall performance of industrial processes include both sophisticated digital system design techniques and complex hardware (input-output sensors, actuators, components and processing units), there is an increased probability of failure. As a direct consequence of this, control systems must include automatic supervision of closed-loop operation to detect and isolate malfunctions as early as possible.

One of the most promising methods for solving this problem is the "analytical redundancy" approach, in which residual signals are obtained. The basic idea consists of using an accurate model of the system to mimic the real process behaviour. If a fault occurs, the residual signal, i.e., the difference between real system and model behaviours, can be used to diagnose and isolate the malfunction.

This book focuses on model identification oriented to the analytical approach of fault diagnosis and identification. The problem is treated in all its aspects covering:

• choice of model structure;

• parameter identification;

• residual generation;

• fault diagnosis and isolation.

Sample case studies are used to demonstrate the application of these techniques.

Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques will be of interest to researchers in control and fault identification. Industrial control engineers interested in applying the latest methods in fault diagnosis will benefit from the practical examples and case studies.

 

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.

Table of contents (6 chapters)

  • Introduction

    Simani, Silvio (et al.)

    Pages 1-18

  • Model-Based Fault Diagnosis Techniques

    Simani, Silvio (et al.)

    Pages 19-60

  • System Identification for Fault Diagnosis

    Simani, Silvio (et al.)

    Pages 61-113

  • Residual Generation, Fault Diagnosis and Identification

    Simani, Silvio (et al.)

    Pages 115-156

  • Fault Diagnosis Application Studies

    Simani, Silvio (et al.)

    Pages 157-250

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-1-4471-3829-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-1-85233-685-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-1-84996-895-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques
Authors
Series Title
Advances in Industrial Control
Copyright
2003
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-3829-7
DOI
10.1007/978-1-4471-3829-7
Hardcover ISBN
978-1-85233-685-1
Softcover ISBN
978-1-84996-895-9
Series ISSN
1430-9491
Edition Number
1
Number of Pages
XV, 282
Topics