Title | ||
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A Novel Life Prediction Method for Railway Safety Relays Using Degradation Parameters. |
Abstract | ||
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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 |
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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 Sun | 1 | 3 | 1.40 |
Yuan Cao | 2 | 73 | 10.39 |
Yuzhuo Zhang | 3 | 36 | 2.36 |
Chaofan Xu | 4 | 0 | 0.34 |