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OverviewThis 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 DetailsAuthor: Tamiru Alemu LemmaPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2018 Volume: 743 Weight: 0.728kg ISBN: 9783319718699ISBN 10: 331971869 Pages: 283 Publication Date: 20 January 2018 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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