A Hybrid Approach for Power Plant Fault Diagnostics

• Main Author: Lemma, Tamiru Alemu (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Computational Intelligence, 743
• Subjects: Computational intelligence.; Optical data processing.; Power electronics.; Energy systems.; Computational Intelligence.; Image Processing and Computer Vision.; Power Electronics, Electrical Machines and Networks.; Energy Systems.

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 effectiven...

Table of Contents:

• 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.