Novel Adversarial Unsupervised Subdomain Adaption Multi-Channel Deep Convolutional Network for Cross-Operating Fault Diagnosis of Rolling Bearings
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
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
Deep Unsupervised Subdomain Adaptation Network for Intelligent Fault Diagnosis: From Simulated Domain to Physical Domain
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3604989
Abstract: Unsupervised domain adaptation (UDA) has demonstrated significant success in intelligent mechanical fault diagnosis. However, these methods primarily focus on transferring knowledge from laboratory test rigs or physical entities, which can be costly or unavailable in… read more here.
Keywords: adaptation; subdomain adaptation; deep unsupervised; fault diagnosis ... See more keywords