Lemma A Hybrid Approach for Power Plant Fault Diagnostics

1. Auflage 2018
ISBN: 978-3-319-71871-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 743, 283 Seiten, eBook

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Lemma, Tamiru Alemu

Inhaltsverzeichnis

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.