A dual attention module and convolutional neural network based bearing fault diagnosis
Abstract:Vibration signals of rolling bearings are affected by changing operating conditions and environmental noise, so they are characterized by a high degree of complexity. Although deep learning fault diagnosis methods have achieved considerable success in practical applications, the high complexity characteristics are ignored. To address this issue, we propose a dual attention module and convolutional neural network (DAM-CNN) for rolling bearing fault diagnosis. In this method, we designed a dual-attention module … Show more
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