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 findings on power plant nonlinear model identification and fault diagnostics. The effectiven...

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Bibliographic Details
Main Author: Lemma, Tamiru Alemu (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Studies in Computational Intelligence, 743
Subjects:
Computational intelligence.
Computer vision.
Electric power production.
Computational Intelligence.
Computer Vision.
Electrical Power Engineering.
Mechanical Power Engineering.
Online Access:Full-text access
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.

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