Fengxing Zhou

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...