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The performance degradation and failure of high-speed train bogie would directly threaten the safe long-term operation of the vehicle. The fault diagnosis based on vibration signals is encountering difficulties as nonlinearity, high complexity, strong coupling, and high uncertainty. To address these challenges, this paper proposes a multi-perspective architecture for fault diagnosis, based on variational...
Targeting the characteristics of high-speed train vibration signals of single lateral damper fault, a novel method based on support vector machine recursive feature elimination with correlation bias reduction(SVM-RFE+CBR) is applied to diagnose fault. In this paper, the SVM-RFE and SVM-RFE+CBR algorithms are introduced in detail. In fault diagnosis for single lateral damper, the whole vehicle feature...
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