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 identication 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 Identication using Neuro-Fuzzy Approach.- Model Uncertainity, Fault Detection and Diagnostics.- Intelligent Fault Detection and Diagnostics.- Application Studies, Part-I: Model Identication 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 ndings on power plant nonlinear model identication 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.
Presents a hybrid approach to power plant fault diagnostics
Applies computational intelligence and neuro-fuzzy methods to power engineering
Written by a respected expert in the field
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