A Hybrid Approach for Power Plant Fault Diagnostics

Tamiru Alemu Lemma (Autor)

Buch | Softcover

XII, 283 Seiten

2019 | 1. Softcover reprint of the original 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-89112-5 (ISBN)

Artikel merken

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.

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.

Erscheinungsdatum	03.02.2019
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XII, 283 p. 161 illus., 138 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	451 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Computational Intelligence • fault detection • Neuro-Fuzzy Methods • Plant Fault Diagnostics • Power engineering
ISBN-10	3-319-89112-X / 331989112X
ISBN-13	978-3-319-89112-5 / 9783319891125
Zustand	Neuware