Fault Diagnosis: Models, Artificial Intelligence, Applications - Rilegato

Koscielny, Jan M.; Kowalczuk, Zdzislaw; Cholewa, Wojciech

Rilegato

ISBN 10: 3540407677 ISBN 13: 9783540407676

Casa editrice: Springer Nature, 2003

Riassunto

This comprehensive work presents the status and likely development of fault diagnosis, an emerging discipline of modern control engineering. It covers fundamentals of model-based fault diagnosis in a wide context, providing a good introduction to the theoretical foundation and many basic approaches of fault detection.

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Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2003
• Lingua: Inglese
• ISBN 10: 3540407677
• ISBN 13: 9783540407676
• Rilegatura: Copertina rigida
• Numero di pagine: 920
• Redattore: Korbicz Jozef, Koscielny Jan M., Kowalczuk Zdzislaw, Cholewa Wojciech
• Contatto del produttore: non disponibile
• Persona responsabile: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Germania