Limit search to available items
Book Cover
E-book
Author Lemma, Tamiru Alemu, author

Title A Hybrid Approach for Power Plant Fault Diagnostics / by Tamiru Alemu Lemma
Published Cham : Springer International Publishing : Imprint : Springer, 2018
Online access available from:
Springer eBooks    View Resource Record  

Copies

Description 1 online resource (XII, 283 pages 161 illustrations, 138 illustrations in color.) : online resource
Series Studies in Computational Intelligence, 1860-949X ; 743
Studies in computational intelligence ; 743. 1860-949X
Contents Introduction -- Literature Review -- Model Identi?cation using Neuro-Fuzzy Approach -- Model Uncertainity, Fault Detection and Diagnostics -- Intelligent Fault Detection and Diagnostics -- Application Studies, Part-I: Model Identi?cation and Validation -- Application Studies, Part-II: Fault Detection and Diagnostics -- Conclusion and Recommendation
Summary 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?ndings on power plant nonlinear model identi?cation and fault diagnostics. The e?ectiveness 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
Bibliography Includes bibliographical references
Subject Computational intelligence.
Energy systems
Engineering.
Image processing.
Power electronics.
Form Electronic book
ISBN 3319718711
9783319718712