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

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Krzysztof Patan

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

Krzysztof Patan

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English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
24 June 2008

Cybernetics & systems theory; Mathematical physics; Engineering measurement & calibration; Automatic control engineering; Artificial intelligence

Series: Lecture Notes in Control and Information Sciences

Summary
Details

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.

By: Krzysztof Patan
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 2008 ed.
Volume: 377
Dimensions: Height: 235mm, Width: 155mm, Spine: 12mm
Weight: 730g
ISBN: 9783540798712
ISBN 10: 3540798714
Series: Lecture Notes in Control and Information Sciences
Pages: 206
Publication Date: 24 June 2008
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active