Author

Ning Zhou

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Open access Jul 2026

Multiple signal blind deconvolution for fault feature enhancement of rolling element bearings

Transient repetitive impulses are a typical feature of localized damage to rolling element bearings. Enhancing the damage-induced impulse components hidden in collected vibration signals is an important issue for local defect recognition in bearings. Blind deconvolution (BD) is a typical approach for enhancing bearing...

Yao Cheng, Bingyan Chen, Ning Zhou et al. · Structural Health Monitoring · 1 citation

Sep 2026

A semi-supervised learning framework for bearing fault recognition under strong noise

An improved dynamic pseudo-label learning strategy is developed, improving model generalization by involving more unlabeled data in training, and a noise reduction learning strategy based on self-supervised learning is proposed, extracting invariant features under noise conditions by a new optimization objective.

Ning Zhou, Lei Liu, Yao Cheng et al. · Structural Health Monitoring · 3 citations