A Hybrid Approach for Power Plant Fault Diagnostics
Seiten
2019
|
1. Softcover reprint of the original 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-89112-5 (ISBN)
Springer International Publishing (Verlag)
978-3-319-89112-5 (ISBN)
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 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.
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.
Erscheinungsdatum | 03.02.2019 |
---|---|
Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | XII, 283 p. 161 illus., 138 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 451 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Computational Intelligence • fault detection • Neuro-Fuzzy Methods • Plant Fault Diagnostics • Power engineering |
ISBN-10 | 3-319-89112-X / 331989112X |
ISBN-13 | 978-3-319-89112-5 / 9783319891125 |
Zustand | Neuware |
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