A Hybrid Approach for Power Plant Fault Diagnostics (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 743
Release date:	2018
First published:	2018
Authors:	Tamiru Alemu Lemma
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	283
Edition:	1st ed. 2018
ISBN-13:	978-3-319-71869-9
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power networks, systems, stations & plants Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-71869-X
Barcode:	9783319718699

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