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A hybrid approach for power plant fa...

Lemma, Tamiru Alemu.

A hybrid approach for power plant fault diagnostics

Record Type:	Electronic resources : Monograph/item
Title/Author:	A hybrid approach for power plant fault diagnosticsby Tamiru Alemu Lemma.
Author:	Lemma, Tamiru Alemu.
Published:	Cham :Springer International Publishing :2018.
Description:	xii, 283 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Fault location (Engineering)
Online resource:	http://dx.doi.org/10.1007/978-3-319-71871-2
ISBN:	9783319718712$q(electronic bk.)

A hybrid approach for power plant fault diagnostics
Lemma, Tamiru Alemu.

A hybrid approach for power plant fault diagnostics[electronic resource] /by Tamiru Alemu Lemma. - Cham :Springer International Publishing :2018. - xii, 283 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7431860-949X ;. - Studies in computational intelligence ;v. 216..

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.

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 e�?ectiveness 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.

ISBN: 9783319718712$q(electronic bk.)

Standard No.: 10.1007/978-3-319-71871-2doiSubjects--Topical Terms:

266155
Fault location (Engineering)

LC Class. No.: TA169.6

Dewey Class. No.: 621.00452

A hybrid approach for power plant fault diagnostics
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245 1 2 $a A hybrid approach for power plant fault diagnostics $h [electronic resource] / $c by Tamiru Alemu Lemma.
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300 $a xii, 283 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.743
505 0 $a 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.
520 $a 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 e�?ectiveness 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.
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