A Hybrid Approach for Power Plant Fault Diagnostics
Başlık:
A Hybrid Approach for Power Plant Fault Diagnostics
Yazar:
Lemma, Tamiru Alemu. author.
ISBN:
9783319718712
Yazar:
Edisyon:
1st ed. 2018.
Fiziksel Niteleme:
XII, 283 p. 161 illus., 138 illus. in color. online resource.
Seri:
Studies in Computational Intelligence, 743
İçindekiler:
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.
Özet:
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.
Konu Başlığı:
Ek Kurum Yazar:
Elektronik Erişim:
https://doi.org/10.1007/978-3-319-71871-2