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Dual-condition diffusion model-based virtual sample augmentation method for fault diagnosis of train gearboxes
Special Issue on Autonomous Safety Assurance and Intelligent Operation and Maintenance of Rail Transit | 更新时间：2026-02-24

    • Dual-condition diffusion model-based virtual sample augmentation method for fault diagnosis of train gearboxes

    • “This paper introduces the research progress in the field of intelligent fault diagnosis of train gearboxes. Relevant experts propose a virtual fault sample generation method based on a dual condition diffusion model, which provides an effective solution to the problems of sample scarcity, insufficient generation diversity, and low training efficiency.”
    • Electric Drive for Locomotives   Issue 5, Pages: 12-22(2025)

    • DOI：10.13890/j.issn.1000-128X.2025.05.002    

      CLC： U270.332

    • Received：26 August 2025，

      Published：10 September 2025

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  • SHEN Zelin, WANG Biao, QIN Yong, et al. Dual-condition diffusion model-based virtual sample augmentation method for fault diagnosis of train gearboxes[J]. Electric drive for locomotives,2025(5): 12-22. DOI：10.13890/j.issn.1000-128X.2025.05.002.

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