Fault Diagnosis: Models, Artificial Intelligence, Applications

This comprehensive work presents the status and likely development of fault diagnosis, which has become an emerging discipline of modern control engineering. It covers the fundamentals of model-based fault diagnosis in a wide context relevant to industrial engineers and scientists as well as academi...

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Weitere Verfasser: Korbicz, Józef (HerausgeberIn), Koscielny, Jan M. (HerausgeberIn), Kowalczuk, Zdzislaw (HerausgeberIn), Cholewa, Wojciech (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Berlin, Heidelberg Springer Berlin Heidelberg 2004
Ausgabe:1st ed. 2004
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Online-Zugang:UBY01
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Zusammenfassung:This comprehensive work presents the status and likely development of fault diagnosis, which has become an emerging discipline of modern control engineering. It covers the fundamentals of model-based fault diagnosis in a wide context relevant to industrial engineers and scientists as well as academics pursuing the reliability and fault detection issues of safety-critical industrial processes. The wide scope of the book provides graduate and postgraduate students of control and mechanical engineering or system sciences with a good introduction to the theoretical foundation and many basic approaches of fault detection, while providing useful bibliographical information. It is a valuable reference book and practical help for industrial control engineers who are in charge of the improvement and safety of the technical control systems, condition-based maintenance and repair, or of the design of fault tolerant control systems
Beschreibung:1 Online-Ressource (XXIX, 922 p)
ISBN:9783642186158
DOI:10.1007/978-3-642-18615-8

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