rolling-bear-fault-diagnosis-based-wavelet-time-frequency-map-and-CNN:从原始的振动信号中获取小波时频图，然后输入到CNN中进行故障诊断，测试集的诊断精度最高

rolling-bear-fault-diagnosis-based-wavelet-time-frequency-map-and-CNN The wavelet time-frequency map is obtained from the original vibration signal, and then input into CNN to realize fault diagnosis, the test set has the highest diagnostic accuracy 在matlab和pytorch0.4下，通过matlab对原始振动信号求取小波时频图，然后输入进pytorchCNN实现故障诊断，测试集诊断精度最高达99.5%。代码出售的、出售的、出售的，需要的加qq2919218574.详细见我的博客： 小波时频数据为：链接: 提取码: xhqz