DAHCL mitigates cross-domain pseudo-label bias and improves unlabeled sample utilization in SSDGFD via domain-aware calibration and fuzzy hierarchical contrastive supervision.
Global-focal adaptation with information separation for noise-robust transfer fault diagnosis
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Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
DAHCL mitigates cross-domain pseudo-label bias and improves unlabeled sample utilization in SSDGFD via domain-aware calibration and fuzzy hierarchical contrastive supervision.