A hybrid approach for power plant fault diagnostics 1st ed.

Author

• Lemma, Tamiru Alemu

Additional Author(s)

-

Publisher

Cham, Switzerland : Springer International Publishing, 2018

Language

English

ISBN

9783319718712

Series

Studies in Computational Intelligence 743

Subject(s)

• COMPUTATIONAL INTELLIGENCE
• IMAGE PROCESSING
• POWER ELECTRONICS

Notes

. .

Abstract

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 effectiveness 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.

Physical Dimension

Number of Page(s)

1 online resource (xii, 283 p.)

Dimension

-

Other Desc.

ill. (in col.)

Summary / Review / Table of Content

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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00809/20	006.3 Lem H	Online !	Available