CLDA: an adversarial unsupervised domain adaptation method with classifier-level adaptation
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DOI: 10.1007/s11042-020-08877-8
Abstract: Domain adaptation is an active and important research field in transfer learning. Unsupervised domain adaptation, which is better in line with real-world scenarios than supervised and semi-supervised domain adaptation, has attracted much attention and research.… read more here.
Keywords: adversarial unsupervised; domain; level; domain adaptation ... See more keywords
Novel Adversarial Unsupervised Subdomain Adaption Multi-Channel Deep Convolutional Network for Cross-Operating Fault Diagnosis of Rolling Bearings
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DOI: 10.1109/access.2024.3377691
Abstract: Rolling bearings in production practice usually serve in a healthy state. Some fault state labels are scarce or even no labels, resulting in unbalanced data categories. Meanwhile, frequent working condition switching results in significant differences… read more here.
Keywords: novel adversarial; rolling bearings; network; unsupervised subdomain ... See more keywords