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A hybrid approach for power plant fa...

Lemma, Tamiru Alemu.

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A hybrid approach for power plant fault diagnostics

Record Type:	Electronic resources : Monograph/item
Title/Author:	A hybrid approach for power plant fault diagnostics/ by Tamiru Alemu Lemma.
Author:	Lemma, Tamiru Alemu.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xii, 283 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Fault location (Engineering) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-71871-2
ISBN:	9783319718712

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.743..

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 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.

ISBN: 9783319718712

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

649702
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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100 1 $a Lemma, Tamiru Alemu. $3 3299768
245 1 2 $a A hybrid approach for power plant fault diagnostics $h [electronic resource] / $c by Tamiru Alemu Lemma.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
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 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.
650 0 $a Fault location (Engineering) $3 649702
650 0 $a Power-plants. $3 1567724
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 1001796
650 2 4 $a Energy Systems. $3 1530445
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a Studies in computational intelligence ; $v v.743. $3 3299769
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-71871-2
950 $a Engineering (Springer-11647)