A Hybrid Approach for Power Plant Fault Diagnostics

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 effecti...

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Bibliographische Detailangaben
1. Verfasser: Lemma, Tamiru Alemu (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing, 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:Studies in Computational Intelligence, 743
Schlagworte:
Computational intelligence.
Optical data processing.
Power electronics.
Energy systems.
ISBN:9783319718712
ISSN:1860-949X ;
Online-Zugang: Volltext
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Beschreibung
Zusammenfassung: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 effectiveness 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.
Beschreibung:Engineering
Beschreibung:XII, 283 p. 161 illus., 138 illus. in color. online resource.
ISBN:9783319718712
ISSN:1860-949X ;

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