Franklin

Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains / by Hongtian Chen, Bin Jiang, Ningyun Lu, Wen Chen.

Author/Creator:
Chen, Hongtian author., Author,
Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
Format/Description:
Book
1 online resource (XIII, 160 pages) : 53 illustrations, 47 illustrations in color.
Edition:
1st ed. 2020.
Series:
Engineering (Springer-11647)
Lecture notes in intelligent transportation and infrastructure 2523-3440
Lecture Notes in Intelligent Transportation and Infrastructure, 2523-3440
Contained In:
Springer eBooks
Status/Location:
Loading...

Options
Location Notes Your Loan Policy

Details

Subjects:
Transportation engineering.
Traffic engineering.
Automatic control.
Computational intelligence.
Local subjects:
Transportation Technology and Traffic Engineering. (search)
Control and Systems Theory. (search)
Computational Intelligence. (search)
System Details:
text file PDF
Summary:
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. .
Contents:
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. .
Contributor:
Jiang, Bin, author., Author,
Lu, Ningyun, author., Author,
Chen, Wen, author., Author,
SpringerLink (Online service)
Other format:
Printed edition:
Printed edition:
Printed edition:
ISBN:
978-3-030-46263-5
9783030462635
Publisher Number:
10.1007/978-3-030-46263-5 doi
Access Restriction:
Restricted for use by site license.