Author

Hongwei Zhang

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Open access Jul 2026

Self-Supervised CNN–Transformer Anomaly Detection for Bearing Health Monitoring

The findings demonstrate that the proposed healthy-only self-supervised framework provides an effective and label-efficient approach for rolling bearing anomaly detection and shows promise for predictive maintenance applications where labelled fault data are limited or unavailable.

Syed Sajjad Haider Zaidi, Alex Shenfield, Hongwei Zhang et al. · Processes · 0 citations