A Hybrid Approach for Power Plant Fault Diagnostics

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 eectiveness 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

Inhalt
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. <p