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Data-driven detection and diagnosis ...
~
Chen, Hongtian.
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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 trains/ by Hongtian Chen ... [et al.].
other author:
Chen, Hongtian.
Published:
Cham :Springer International Publishing : : 2020.,
Description:
xiii, 160 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer eBooks
Subject:
High speed trains. -
Online resource:
https://doi.org/10.1007/978-3-030-46263-5
ISBN:
9783030462635
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
Standard No.: 10.1007/978-3-030-46263-5doiSubjects--Topical Terms:
2145603
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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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.
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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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Engineering (Springer-11647)
based on 0 review(s)
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電子資源
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Items
1 records • Pages 1 •
1
Inventory Number
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Opac note
Attachments
W9392686
電子資源
11.線上閱覽_V
電子書
EB TF1450
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0
1 records • Pages 1 •
1
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