Prediction of Residual Electrical Life in Railway Relays Based on Convolutional Neural Network Bidirectional Long Short-Term Memory

Prediction of Residual Electrical Life in Railway Relays Based on Convolutional Neural Network Bidirectional Long Short-Term Memory

In this paper, we address several issues with existing methods for predicting the residual electrical life of railway relays. These issues include the difficulty of single feature prediction in characterizing the degradation process, the neglect of temporal and backward–forward correlations in the d...

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Bibliographic Details
Main Authors: Shuxin Liu, Yankai Li, Shuyu Gao, Chaojian Xing, Jing Li, Yundong Cao
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Energies
Subjects:
railway relay
random forest
Spearman correlation coefficient analysis
CNN
BiLSTM
life prediction
Online Access:https://www.mdpi.com/1996-1073/16/17/6357

Internet

https://www.mdpi.com/1996-1073/16/17/6357

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