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Data-driven detection and diagnosis ...

Chen, Hongtian.

Data-driven detection and diagnosis of faults in traction systems of high-speed trains

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data-driven detection and diagnosis of faults in traction systems of high-speed trainsby Hongtian Chen ... [et al.].
other author:	Chen, Hongtian.
Published:	Cham :Springer International Publishing :2020.
Description:	xiii, 160 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	High speed trains.
Online resource:	https://doi.org/10.1007/978-3-030-46263-5
ISBN:	9783030462635$q(electronic bk.)

Data-driven detection and diagnosis of faults in traction systems of high-speed trains
Data-driven detection and diagnosis of faults in traction systems of high-speed trains[electronic resource] /by Hongtian Chen ... [et al.]. - Cham :Springer International Publishing :2020. - xiii, 160 p. :ill., digital ;24 cm. - Lecture notes in intelligent transportation and infrastructure,2523-3440. - Lecture notes in intelligent transportation and infrastructure..

Introduction -- Traction Systems and Experimental Platforms -- Basics of Data-driven FDD Methods -- Multi-mode PCA-based FDD Methods -- Probability-relevant PCA-based FDD Methods -- Deep PCA-based FDD Methods -- PCA and Kull back-Leibler Divergence-based FDD Methods -- PCA and Hellinger Distance-based FDD Methods -- Conclusions and Further Work.

This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.

ISBN: 9783030462635$q(electronic bk.)

Standard No.: 10.1007/978-3-030-46263-5doiSubjects--Topical Terms:

719567
High speed trains.

LC Class. No.: TF1450

Dewey Class. No.: 629.04

Data-driven detection and diagnosis of faults in traction systems of high-speed trains
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245 0 0 $a Data-driven detection and diagnosis of faults in traction systems of high-speed trains $h [electronic resource] / $c by Hongtian Chen ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiii, 160 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in intelligent transportation and infrastructure, $x 2523-3440
505 0 $a Introduction -- Traction Systems and Experimental Platforms -- Basics of Data-driven FDD Methods -- Multi-mode PCA-based FDD Methods -- Probability-relevant PCA-based FDD Methods -- Deep PCA-based FDD Methods -- PCA and Kull back-Leibler Divergence-based FDD Methods -- PCA and Hellinger Distance-based FDD Methods -- Conclusions and Further Work.
520 $a This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.
650 0 $a High speed trains. $3 719567
650 0 $a Fault location (Engineering) $3 266155
650 1 4 $a Transportation Technology and Traffic Engineering. $3 724870
650 2 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Computational Intelligence. $3 338479
700 1 $a Chen, Hongtian. $3 858770
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in intelligent transportation and infrastructure. $3 830755
856 4 0 $u https://doi.org/10.1007/978-3-030-46263-5
950 $a Engineering (Springer-11647)