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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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data-driven detection and diagnosis of faults in traction systems of high-speed trainsby Hongtian Chen ... [et al.].
其他作者:	Chen, Hongtian.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xiii, 160 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	High speed trains.
電子資源:	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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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.
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650 0 $a Fault location (Engineering) $3 266155
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