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Ping Qu

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Open access Aug 2026

Bearing Single-Source Domain Generalization Fault Diagnosis Method Based on Adaptive Frequency-Domain Augmentation and Unsupervised Contrastive Learning

An unsupervised contrastive learning framework named FDACL is proposed, providing an unsupervised diagnostic approach for railway bearings under unknown working conditions and outperforms state-of-the-art baselines on SDG transfer tasks.

Kai-Sheng Deng, Ping Qu · 0 citations