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Author

Jiaqi Wang

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Open access Jul 2026

TMDANN-A: Boundary-aware discriminative alignment and condition-guided multi-source at-tention for vibration-based bearing fault diagnosis under variable operating conditions

TMDANN-A, a multi-source domain adaptation framework for vibration-based bearing fault diagnosis, combines adversarial domain alignment, boundary-aware discriminative learning, and condition-guided source weighting to improve domain invariance and class separability is proposed.

Changming Zhang, Yiping Yuan, Bo Chen et al. · 0 citations
Open access Jul 2026

Rolling Bearing Fault Feature Extraction Based on Adaptive Hybrid Black-Winged Kite Optimized VME and SMHD

Rolling bearing fault features are often weak and easily affected by noise and interference. To improve fault feature extraction performance, this paper proposes an AHBKA-VME-SMHD method. First, the black-winged kite algorithm is improved by opposition-based learning, a Gompertz-based adaptive step size strategy, and a...

Guanghe Zhu, Jia-Qi Wang, Haijun Zhang · 0 citations

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