为解决极点对称模态分解(extreme-pointsymmetricmodedecomposition,ESMD)算法存在的端点效应和模态混叠问题,提出了一种基于改进能量熵的ESMD信号检测方法,采用极值对称中点插值来替代ESMD原来的内部极点对称插值,以缓解三次样条插值带来的端点漂移和模态失真,将模态能量相对值和能量熵增量结合来识别虚假模态分量。仿真结果表明,该方法不但能够抑制端点效应,得出信号包含的各频率信号的信息,还可识别虚假模态,达到较好的分解效果,验证了方法的有效性。

In order to solve the endpoint effect and modal aliasing problem of Extreme-point Symmetric Mode Decomposition (ESMD) algorithm, an improved energy entropy-based ESMD signal detection method is proposed, which uses extreme value symmetric midpoint interpolation. Instead of ESMD's original internal pole-symmetric interpolation, the endpoint drift and modal distortion caused by cubic spline interpolation are alleviated, and the modal energy relative value and energy entropy increment are combined to identify the false modal component. The simulation results show that the proposed method can not only suppress the end effect, but also obtain the information of each frequency signal contained in the signal. It can also identify the false mode and achieve better decomposition effect, and verify the effectiveness of the proposed method.