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A Hybrid Approach for Power Plant Fault Diagnostics

  • Tamiru Alemu Lemma

Part of the Studies in Computational Intelligence book series (SCI, volume 743)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Tamiru Alemu Lemma
    Pages 1-10
  3. Tamiru Alemu Lemma
    Pages 11-35
  4. Tamiru Alemu Lemma
    Pages 37-74
  5. Tamiru Alemu Lemma
    Pages 99-117
  6. Tamiru Alemu Lemma
    Pages 207-209
  7. Back Matter
    Pages 211-283

About this book

Introduction

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.

Keywords

Computational Intelligence Neuro-Fuzzy Methods Plant Fault Diagnostics Power Engineering Fault Detection

Authors and affiliations

  • Tamiru Alemu Lemma
    • 1
  1. 1.Department of Mechanical EngineeringUniversiti Teknologi PETRONASSeri IskandarMalaysia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71871-2
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-71869-9
  • Online ISBN 978-3-319-71871-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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