Author

Xuefang Xu

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Sep 2026

A cross-domain bearing fault diagnosis method under sample imbalance based on multi-view information cross-integration ensemble learning

This work proposes a multi-view information cross-integration ensemble learning method that employs a multi-view cross-integration strategy to generate mixed signals, thereby extracting complementary feature representations while reducing redundancy in cross-domain bearing fault diagnosis.

Chang-Bo He, Liang-Liang Hu, Xue-Fang Xu et al. · Structural Health Monitoring · 0 citations

Open access Aug 2026

MSFTNet: multi-scale frequency-temporal network for machinery fault diagnosis under complex working conditions

A multi-scale frequency-temporal network that achieves an average accuracy of 99.58% under variable speeds and maintains a robust accuracy of 70.14% even under extreme noise conditions, outperforming baseline methods across a range of complex scenarios.

Deguang Li, Zhen Ding, Yixin Chen et al. · Engineering Research Express · 0 citations