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.
