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...