Chen, Hongtian.
Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains [electronic resource] / by Hongtian Chen, Bin Jiang, Ningyun Lu, Wen Chen. - 1st ed. 2020. - XIII, 160 p. 53 illus., 47 illus. in color. online resource. - Lecture Notes in Intelligent Transportation and Infrastructure, 2523-3459 . - 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. .
9783030462635
10.1007/978-3-030-46263-5 doi
Transportation engineering.
Traffic engineering.
Control engineering.
Computational intelligence.
Transportation Technology and Traffic Engineering.
Control and Systems Theory.
Computational Intelligence.
TA1001-1280 HE331-380
629.04
Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains [electronic resource] / by Hongtian Chen, Bin Jiang, Ningyun Lu, Wen Chen. - 1st ed. 2020. - XIII, 160 p. 53 illus., 47 illus. in color. online resource. - Lecture Notes in Intelligent Transportation and Infrastructure, 2523-3459 . - 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. .
9783030462635
10.1007/978-3-030-46263-5 doi
Transportation engineering.
Traffic engineering.
Control engineering.
Computational intelligence.
Transportation Technology and Traffic Engineering.
Control and Systems Theory.
Computational Intelligence.
TA1001-1280 HE331-380
629.04