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Open access Aug 2026

Periodic sparse joint deconvolution and its application to bearing fault detection

Rolling bearing fault detection under strong background noise remains a challenging task because fault-induced repetitive transients are usually weakened by the transmission path and masked by random interference. To address this issue, this paper proposes a periodic sparse joint deconvolution (PSJD) method for extract...

Na Yang, Yie Liu, Yuan-Bo Xu et al. · 0 citations

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