| Description |
1 online resource (XII, 283 pages 161 illustrations, 138 illustrations in color.) : online resource |
| Series |
Studies in Computational Intelligence, 1860-949X ; 743 |
|
Studies in computational intelligence ; 743. 1860-949X
|
| Contents |
Introduction -- Literature Review -- Model Identi?cation using Neuro-Fuzzy Approach -- Model Uncertainity, Fault Detection and Diagnostics -- Intelligent Fault Detection and Diagnostics -- Application Studies, Part-I: Model Identi?cation and Validation -- Application Studies, Part-II: Fault Detection and Diagnostics -- Conclusion and Recommendation |
| Summary |
This book provides a hybrid approach to fault detection and diagnostics. It presents a detailed analysis related to practical applications of the fault detection and diagnostics framework, and highlights recent?ndings on power plant nonlinear model identi?cation and fault diagnostics. The e?ectiveness of the methods presented is tested using data acquired from actual cogeneration and cooling plants (CCPs). The models presented were developed by applying Neuro-Fuzzy (NF) methods. The book offers a valuable resource for researchers and practicing engineers alike |
| Bibliography |
Includes bibliographical references |
| Subject |
Computational intelligence.
|
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Energy systems
|
|
Engineering.
|
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Image processing.
|
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Power electronics.
|
| Form |
Electronic book
|
| ISBN |
3319718711 |
|
9783319718712 |
|
