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Author

Baokang Yan

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Aug 2026

Multi-modal evolutionary graph learning-based fault diagnosis for motors under wide-range variable-speed conditions

Motor fault diagnosis under wide-range variable-speed conditions remains challenging due to the dynamic migration of inter-sensor dependencies and the inconsistency of multi-modal feature correlations. Conventional models trained under fixed-speed or single-modality settings fail to adapt to these evolving relationship...

Yaqiong Duan, Yong Zhang, Xian-Ge Zhang et al. · 0 citations
Open access Jul 2026

Interpretable bearing fault diagnosis using physically compiled Kolmogorov–Arnold networks

Rolling bearing fault diagnosis under noise and varying operating conditions requires diagnostic evidence that is not only accurate but also physically verifiable. Existing deep diagnostic models often rely on post-hoc saliency or attention visualization, which may not provide stable correspondence with measurable dyna...

Bo Xu, Huipeng Li, Fengxing Zhou et al. · 0 citations

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