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
· International Conference on... · 0 citations