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

  • Authors
  • Krzysztof¬†Patan

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 377)

Table of contents

  1. Front Matter
  2. Krzysztof Patan
    Pages 1-6
  3. Krzysztof Patan
    Pages 7-27
  4. Krzysztof Patan
    Pages 29-63
  5. Krzysztof Patan
    Pages 123-140
  6. Krzysztof Patan
    Pages 141-185
  7. Back Matter

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.


Adaptive Threshold Approximation Abilities Bopp2009 Decision Making Dynamic Neuron Model Experimental Design Fault Diagnosis Identification Model Error Modelling Modelling Neural Networks Non-Linear Systems Recurrent Neural Networks Robust Fa

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-79871-2
  • Online ISBN 978-3-540-79872-9
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • Buy this book on publisher's site
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