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

by Hongtian Chen, Bin Jiang, Ningyun Lu, Wen Chen

Overview

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. 

Product Details

ISBN-13:	9783030462635
Publisher:	Springer-Verlag New York, LLC
Publication date:	04/25/2020
Series:	Lecture Notes in Intelligent Transportation and Infrastructure
Sold by:	Barnes & Noble
Format:	eBook
File size:	18 MB
Note:	This product may take a few minutes to download.

Table of 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.