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
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.