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Conference Jul 2026

A noisy small-sample fault diagnosis method based on dynamic weighted contrastive learning using multisource signals

A Multi-source Dynamic Contrastive Learning (M-DCL) approach for noisy small-sample fault diagnosis, leveraging noise-aware dynamic weighting and multi-scale feature regularization to boost diagnostic capability against small samples and noise.

Fan Wang, Xiang Wang, Jingyuan Jia · 0 citations

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