MCL-3WDA: Cross-domain Fault Diagnosis for Rotating Machine via Multi-channel Vibration Data based on Contrastive Learning and Fine-grained Domain Alignment
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DOI: 10.1109/jsen.2025.3625562
Abstract: Rotating machinery fault diagnosis under varying operating conditions is challenged not only by domain shift and data scarcity but more critically by intrinsic algorithmic limitations in existing methods. Most current unsupervised domain adaptation (UDA) approaches… read more here.
Keywords: cross domain; mcl 3wda; contrastive learning; domain alignment ... See more keywords