Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
Published on 26. April 2021
Book
Paperback/Softback
XIII, 160 pages
978-3-030-46265-9 (ISBN)
Description
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.
More details
Series
Edition
2020 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
6 s/w Abbildungen, 47 farbige Abbildungen
XIII, 160 p. 53 illus., 47 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
277 gr
ISBN-13
978-3-030-46265-9 (9783030462659)
DOI
10.1007/978-3-030-46263-5
Schweitzer Classification
Other editions
Additional editions
Hongtian Chen | Bin Jiang | Ningyun Lu
Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
Book
04/2020
Springer
€106.99
Shipment within 7-9 days
Content
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.