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.
研究发现，分解的信号可由多尺度方法得到较好的理解。
Then, Hurst analysis was used to analyze multi-fractal characteristics of different scale signals.
本发明公开了一种基于多尺度线调频基稀疏信号分解的齿轮故障诊断方 法。
The invention discloses a gear fault diagnosis method based on multiscale linear frequency modulation-based sparse signal decomposition.
应用推荐