Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
Author:   Hongtian Chen ,  Bin Jiang ,  Ningyun Lu ,  Wen Chen
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
ISBN:  

9783030462628


Pages:   160
Publication Date:   26 April 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains


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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. 

Full Product Details

Author:   Hongtian Chen ,  Bin Jiang ,  Ningyun Lu ,  Wen Chen
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.454kg
ISBN:  

9783030462628


ISBN 10:   3030462625
Pages:   160
Publication Date:   26 April 2020
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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. 

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