TL;DR
Quantile-based domain adaptation with RSE enables effective cross-domain bearing fault diagnosis without costly target-domain retraining, improving accuracy and stability across heterogeneous sensor environments while preserving interpretability for industrial deployment.
Fault diagnosis of rolling bearings is crucial for operational safety. However, the scarcity of labeled data and significant domain shifts are two key challenges. Existing studies neglect robustness to physical disturbances and the interpretability of diagnostic decisions. To address these issues, this paper proposes a...
An unsupervised contrastive learning framework named FDACL is proposed, providing an unsupervised diagnostic approach for railway bearings under unknown working conditions and outperforms state-of-the-art baselines on SDG transfer tasks.
Validation on multiple public bearing datasets demonstrates that IGDATL achieves higher accuracy and superior domain generalization performance, providing an innovative and practical solution for cross-domain intelligent diagnosis of complex industrial systems.
An explainable domain-adaptive CNN–Transformer framework for unsupervised bidirectional cross-domain bearing fault diagnosis using the Case Western Reserve University (CWRU) and Paderborn University (PU) datasets, which confirms the complementary contributions of convolutional feature extraction, Transformer-based temp...
In practical applications of rolling bearings, variations in the measurement data distribution caused by diverse operating conditions result in complicated domain adaptation tasks and significantly impair the effectiveness and generalizability of conventional models. Therefore, this study proposes a frequency-domain-aw...
Vibration-based bearing fault diagnosis relies on features extracted from continuous sensor measurements; yet their reliability as diagnostic measurements degrades when damage morphology differs between training and deployment datasets. This article frames domain transfer as a measurement invariance problem: a feature...
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