基于空洞卷积和增强型多尺度特征自适应融合的滚动轴承故障诊断
韩康,战洪飞,余军合,王瑞

Rolling bearing fault diagnosis based on dilated convolution and enhanced multi-scale feature adaptive fusion
Kang HAN,Hongfei ZHAN,Junhe YU,Rui WANG
表 7 江南大学轴承数据集描述
Tab.7 Description of Jiangnan University bearing dataset
故障类型NtrainNtestNsam
正常09243961320
外圈故障1307132439
内圈故障2307132439
滚动体故障3307132439