Lecture Notes in Control and Information Sciences

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

Authors: Patan, Krzysztof

  • Investigates the properties of locally recurrent neural networks
  • Develops training procedures for locally recurrent neural networks and their application to the modeling and fault diagnosis of non-linear dynamic processes and plants
  • Includes an introduction to fault diagnosis of non-linear systems using artificial neural networks
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  • ISBN 978-3-540-79872-9
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About this book

An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re?ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti?c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.

Table of contents (9 chapters)

  • Introduction

    Patan, Krzysztof

    Pages 1-6

  • Modelling Issue in Fault Diagnosis

    Patan, Krzysztof

    Pages 7-27

  • Locally Recurrent Neural Networks

    Patan, Krzysztof

    Pages 29-63

  • Approximation Abilities of Locally Recurrent Networks

    Patan, Krzysztof

    Pages 65-75

  • Stability and Stabilization of Locally Recurrent Networks

    Patan, Krzysztof

    Pages 77-112

Buy this book

eBook $129.00
price for USA (gross)
  • ISBN 978-3-540-79872-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $169.00
price for USA
  • ISBN 978-3-540-79871-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
Authors
Series Title
Lecture Notes in Control and Information Sciences
Series Volume
377
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-79872-9
DOI
10.1007/978-3-540-79872-9
Softcover ISBN
978-3-540-79871-2
Series ISSN
0170-8643
Edition Number
1
Number of Pages
XXII, 206
Number of Illustrations and Tables
93 b/w illustrations
Topics