A Hybrid Approach for Power Plant Fault Diagnostics
(Sprache: Englisch)
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 findings on power plant nonlinear model...
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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 findings on power plant nonlinear model identification 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.Inhaltsverzeichnis zu „A Hybrid Approach for Power Plant Fault Diagnostics “
Introduction.- Literature Review.- Model Identification using Neuro-Fuzzy Approach.- Model Uncertainity, Fault Detection and Diagnostics.- Intelligent Fault Detection and Diagnostics.- Application Studies, Part-I: Model Identification and Validation.- Application Studies, Part-II: Fault Detection and Diagnostics.- Conclusion and Recommendation.Bibliographische Angaben
- Autor: Tamiru Alemu Lemma
- 2019, Softcover reprint of the original 1st ed. 2018, XII, 283 Seiten, 138 farbige Abbildungen, Maße: 15,7 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 331989112X
- ISBN-13: 9783319891125
Sprache:
Englisch
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