Multi-scale multi-task CNN with bidirectional squeeze-and-excitation attention for rolling bearing fault diagnosis
To overcome the engineering drawback that existing rolling bearing diagnosis models fail to simultaneously identify fault types and classify fine-grained damage severities, this paper proposes a multi-scale multi-task CNN embedded with bidirectional squeeze-and-excitation attention (BSE-MSTCNN). Built on a shared-bra...