Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains

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...

Full description

Bibliographic Details
Main Authors: Chen, Hongtian, Jiang, Bin (Author), Lu, Ningyun (Author), Chen, Wen (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2020, 2020
Edition:1st ed. 2020
Series:Lecture Notes in Intelligent Transportation and Infrastructure
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02310nmm a2200373 u 4500
001 EB001896439
003 EBX01000000000000001059445
005 00000000000000.0
007 cr|||||||||||||||||||||
008 200506 ||| eng
020 |a 9783030462635 
100 1 |a Chen, Hongtian 
245 0 0 |a Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains  |h Elektronische Ressource  |c by Hongtian Chen, Bin Jiang, Ningyun Lu, Wen Chen 
250 |a 1st ed. 2020 
260 |a Cham  |b Springer International Publishing  |c 2020, 2020 
300 |a XIII, 160 p. 53 illus., 47 illus. in color  |b online resource 
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. 
653 |a Transportation engineering 
653 |a Traffic engineering 
653 |a Computational intelligence 
653 |a Control and Systems Theory 
653 |a Computational Intelligence 
653 |a Control engineering 
653 |a Transportation Technology and Traffic Engineering 
700 1 |a Jiang, Bin  |e [author] 
700 1 |a Lu, Ningyun  |e [author] 
700 1 |a Chen, Wen  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Lecture Notes in Intelligent Transportation and Infrastructure 
028 5 0 |a 10.1007/978-3-030-46263-5 
856 4 0 |u https://doi.org/10.1007/978-3-030-46263-5?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 629.04 
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.