Author

Jiannan Dong

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Open access Aug 2026

Industrial Internet-Oriented Unsupervised Hydro-Turbine Bearing Fault Diagnosis via Prototype-Disentangled Conditional Wasserstein Domain Adaptation

Results indicate that the proposed method can effectively transfer diagnostic knowledge acquired from labeled historical operating conditions to unlabeled online monitoring data and can serve as an offline-trained diagnostic module for Industrial Internet of Things-based condition-monitoring platforms in hydropower sys...

Xue-Yi Li, Binghao Hu, Jiannan Dong et al. · Future Internet · 0 citations

Jul 2026

MAML-S3M: Selective state space meta-learning for cross-condition few-shot bearing fault diagnosis

A novel model-agnostic meta-learning framework based on a selective state space model (MAML-S3M) to address the challenge of cross-condition few-shot bearing fault diagnosis and achieves superior diagnostic accuracy, outperforming state-of-the-art methods by at least 1.1%.

Siyu Liu, Nan Wang, Xue-Yi Li et al. · Structural Health Monitoring · 0 citations