A Hybrid Approach for Power Plant Fault Diagnostics

• Κύριος συγγραφέας: Lemma, Tamiru Alemu (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Computational Intelligence, 743
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.