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Book Cover
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.


Location Call No. Status
Physical 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
Springer Engineering eBooks 2018 English+International
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.
Bibliography Includes bibliographical references.
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.
Other author SpringerLink issuing body.
Subject Engineering.
Energy systems.
Image processing.
Computational intelligence.
Power electronics.
Electronic books.
Electronic book.
ISBN 9783319718712
Standard Number 10.1007/978-3-319-71871-2