A Hybrid Approach for Power Plant Fault Diagnostics

Author:   Tamiru Alemu Lemma
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2018
Volume:   743
ISBN:  

9783319891125


Pages:   283
Publication Date:   04 June 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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A Hybrid Approach for Power Plant Fault Diagnostics


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Overview

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.

Full Product Details

Author:   Tamiru Alemu Lemma
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2018
Volume:   743
Weight:   0.456kg
ISBN:  

9783319891125


ISBN 10:   331989112
Pages:   283
Publication Date:   04 June 2019
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Literature Review.- Model Identification using Neuro-Fuzzy Approach.- Model Uncertainity, Fault Detection and Diagnostics.- Intelligent Fault Detection and Diagnostics.- Application Studies, Part-I: Model Identification and Validation.- Application Studies, Part-II: Fault Detection and Diagnostics.- Conclusion and Recommendation.

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