轴承故障诊断，经验模态分解，采用切片双谱-Bearing fault diagnosis, empirical mode decomposition, using slices bispectral

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