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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| Format: | eBook |
| Language: | English |
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Berlin ; New York :
Springer,
[2004]
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Item Description: | Softcover reprint of the hardcover 1st edition 2004. Electronic resource. |
| Physical Description: | 1 online resource (xxix, 920 pages) : illustrations |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783642186158 (electronic bk.) 3642186157 (electronic bk.) |