A Hybrid Approach for Power Plant Fault Diagnostics
Lemma, Tamiru Alemu.
A Hybrid Approach for Power Plant Fault Diagnostics by Tamiru Alemu Lemma. - 1 recurso en línea (XII, 283 páginas 161 ilustraciones, 138 ilustraciones a color.) - Studies in Computational Intelligence, 743 1860-949X Engineering (Springer-11647) .
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.
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.
9783319718712
10.1007/978-3-319-71871-2 doi
Ingeniería asistida por ordenador
Visión por ordenador
Inteligencia artificial
Q342 2018 EB
A Hybrid Approach for Power Plant Fault Diagnostics by Tamiru Alemu Lemma. - 1 recurso en línea (XII, 283 páginas 161 ilustraciones, 138 ilustraciones a color.) - Studies in Computational Intelligence, 743 1860-949X Engineering (Springer-11647) .
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.
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.
9783319718712
10.1007/978-3-319-71871-2 doi
Ingeniería asistida por ordenador
Visión por ordenador
Inteligencia artificial
Q342 2018 EB