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Springer A Hybrid Approach for Power Plant Fault Diagnostics: 743 (Studies in Computational Intelligence, 743)

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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 January 2018
Listed Since
26 October 2017

Barcode

No barcode data available

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