A Hybrid Approach for Power Plant Fault Diagnostics
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Beschreibung
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.
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.
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 Includes supplementary material: sn.pub/extras
Autor*in
Tamiru Alemu Lemma
Themen in »A Hybrid Approach for Power Plant Fault Diagnostics«
Neuro-Fuzzy Methods Plant Fault Diagnostics Power Engineering Fault Detection