Title
A Novel Life Prediction Method for Railway Safety Relays Using Degradation Parameters.
Abstract
In this paper, a novel life prediction method is proposed for analyzing and assessing the reliability of railway safety relays. In the life tests of railway safety relays, we blend the principal component analysis (PCA) with Mahalanobis distance to extract the key degradation features from some parameters, including the relay contact resistance, closing time, releasing time, super-path time, arc t...
Year
DOI
Venue
2018
10.1109/MITS.2018.2842048
IEEE Intelligent Transportation Systems Magazine
Keywords
Field
DocType
Rail transportation,Railway safety,Failure analysis,Noise measurement,Feature extraction,Predictive models
Simulation,Algorithm,Mahalanobis distance,Degradation (geology),Feature extraction,Engineering,Artificial neural network,Backpropagation,Principal component analysis,Relay,Wavelet transform
Journal
Volume
Issue
ISSN
10
3
1939-1390
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yongkui Sun131.40
Yuan Cao27310.39
Yuzhuo Zhang3362.36
Chaofan Xu400.34