Traction motor fault diagnosis based on rFFT and HDMixer
Special Issue on Autonomous Safety Assurance and Intelligent Operation and Maintenance of Rail Transit|更新时间:2026-02-24
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Traction motor fault diagnosis based on rFFT and HDMixer
“Focusing on the diagnosis of train bogie system faults, experts use real valued Fourier transform technology to process signals, extract fault features, and introduce the HDMixer neural network model for in-depth analysis. The diagnostic accuracy exceeds 93%, providing strong support for train operation safety and maintenance.”
Electric Drive for LocomotivesIssue 5, Pages: 170-178(2025)
LIU Jinyi, LI Bingkun, LIU Shuai, et al. Traction motor fault diagnosis based on rFFT and HDMixer[J]. Electric drive for locomotives,2025(5): 170-178.DOI:10.13890/j.issn.1000-128X.2025.05.102.
Traction motor fault diagnosis based on rFFT and HDMixer