Research on the Rolling Bearing Fault Diagnosis Based on Two Improved RedNet
The cosine annealing algorithm of RedNet network is easy to make the learning rate fall into the local minimum and the over-fitting phenomenon occurs,which leads to the low accuracy.In view of the problems,RedNet was improved and two new networks of MicroNet-RedNet and MobileNetV3-RedNet were proposed.Based on the Involution kernel idea of RedNet,the micro-factorized con-volution and Dynamic Shift-Max activation function of MicroNet were used to improve RedNet,and thus a new network MicroNet-Red-Net was proposed.The h-swish activation function and Squeeze-and-Excitation module of MobileNetV3 were applied to improve Red-Net,and thus a new network MobileNetV3-RedNet was proposed.Based on the measured inner ring fault,outer ring fault and rolling ele-ment fault of the rolling bearing,it can be seen that the above faults can be diagnosed by the two proposed networks of MicroNet-Red-Net and MobileNetV3-RedNet effectively.The accuracies are as high as 98.57％and 93.81％respectively,which are much higher than those got by traditional CNN and the original RedNet.
万方数据
维普
