针对传统滤波方法处理非平稳信号的不足，提出利用经验模态分解法来处理转子启动信号，通过此方法的自适应滤波特性来提取这类信号中的低频分量。
This paper describes a method to extract the low frequency component from rotor startup signal based on empirical mode decomposition, which overcomes the difficulties of traditional filter methods.
通过实例研究，证实采用多尺度经验模态分解可获得老采空区上方地表建筑物的动态变形细部信号。
Trough case study, detail signals of dynamic deformation of buildings above old mine goaf are obtained using multiscale empirical mode decomposition method.
通过实例研究，证实采用多尺度经验模态分解可获得老采空区上方地表建筑物的动态变形细部信号。
Trough case study, detail signals of dynamic deformation of buildings above old mine goaf are obtained using multiscale empirical mode decomposition method.
应用推荐