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Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power networks, systems, stations & plants

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A Hybrid Approach for Power Plant Fault Diagnostics (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R4,573

Discovery Miles 45 730

Repayment Terms: R429 pm x 12*

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A Hybrid Approach for Power Plant Fault Diagnostics (Paperback, Softcover reprint of the original 1st ed. 2018): Tamiru Alemu...

A Hybrid Approach for Power Plant Fault Diagnostics (Paperback, Softcover reprint of the original 1st ed. 2018)

Tamiru Alemu Lemma

Series: Studies in Computational Intelligence, 743

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Loot Price R4,573 Discovery Miles 45 730 | Repayment Terms: R429 pm x 12*

Expected to ship within 10 - 15 working days

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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:	June 2019
First published:	2018
Authors:	Tamiru Alemu Lemma
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	283
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-319-89112-5
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power networks, systems, stations & plants Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-319-89112-X
Barcode:	9783319891125