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A non-contact fault diagnosis method for rolling bearings based on acoustic imaging and convolutional neural networks
2020
IEEE Access
Rolling bearing fault diagnosis is conventionally performed by vibration-based diagnosis (VBD). However, VBD is restrained in some cases because vibration measurement usually requires the contact with the machine. Acoustical-based fault diagnosis (ABD) has the advantage of non-contact measurement over VBD. However, ABD has received little attention and rarely applied in bearing fault diagnosis. In this paper, a new non-contact ABD method for rolling bearings using acoustic imaging and
doi:10.1109/access.2020.3010272
fatcat:lvt4hlglmjbqpoqrzlgjpyghs4