搜索资源列表
MED-AND-SANC
- 用于滚动轴承微弱故障信号的诊断的方法:最小熵反卷积程序、自适应消噪法处理轴承信号、美国西储大学轴承数据处理等5个源文件-Fault diagnosis for rolling bearing weak signal approach: minimum entropy deconvolution procedure, adaptive noise cancellation treatment bearing signals, Case Western Reserve University, Uni
信号打开
- 用于打开美国西储大学轴承测试数据包含谐波相位检测(It is used to open the bearing test data of the western reserve university in the United States.)
BS_7mil
- 凯斯西储大学滚珠轴承数据集7mil - 数据预处理(0HP)(Case Western Reserve University Ball-bearing data set 7mil - data pre-processing(0HP).)
BS_21mil
- 凯斯西储大学滚珠轴承数据集21mil - 数据预处理(0HP)(Case Western Reserve University Ball-bearing data set 21mil - data pre-processing(0HP).)
BS_14mil
- 凯斯西储大学滚珠轴承数据集14mil - 数据预处理(0HP)。(Case Western Reserve University Ball-bearing data set 14mil - data pre-processing(0HP).)