Dual-condition diffusion model-based virtual sample augmentation method for fault diagnosis of train gearboxes
Diffusion models enable the generation of virtual fault samples, alleviating issues such as scarcity and imbalance in measured data and showing promising applications in intelligent fault diagnosis of train gearboxes. However, existing methods have two main limitations. First, they ignore correlatio...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Chinês |
| Опубликовано: |
Editorial Department of Electric Drive for Locomotives
2025-09-01
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| Серии: | 机车电传动 |
| Предметы: | |
| Online-ссылка: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2025.05.002 |
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