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Open access Aug 2026

A Digital-Twin-Enhanced Adversarial Transfer Learning Framework for Fault Diagnosis of Train Axle Box Bearings

A digital-twin-enhanced adversarial transfer learning framework is proposed for fault diagnosis in axle box bearings, which shows the effectiveness and advantages in leveraging multiple digital twins and improving diagnostic accuracy.

Ze-Lin Shen, Biao Wang, Zhuo-Chen Wang et al. · 0 citations

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