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 effectiven...

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Bibliographic Details
Main Author: Lemma, Tamiru Alemu (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Studies in Computational Intelligence, 743
Subjects:
Computational intelligence.
Computer vision.
Electric power production.
Computational Intelligence.
Computer Vision.
Electrical Power Engineering.
Mechanical Power Engineering.
Online Access:Full-text access
Description
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 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.
Physical Description:XII, 283 p. 161 illus., 138 illus. in color. online resource.
ISBN:9783319718712
ISSN:1860-9503 ;
DOI:10.1007/978-3-319-71871-2

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