基于对称差分能量算子解调的局部均值分解端点效应抑制方法

发布时间：2019-04-23 07:44

【摘要】：局部均值分解(Local mean decomposition,LMD)在分析非线性、非平稳信号时表现出特有的分析能力,能够有效获得非平稳信号的时频特征,但是局部均值分解过程中的端点效应会导致分解结果失真,针对这一问题,从振动信号解调分析角度出发,提出基于对称差分能量算子解调的局部均值分解端点效应抑制方法,采用局部均值分解方法将原信号分解为一系列单分量信号,然后对每一个单分量信号进行三点对称差分能量算子解调,得到各单分量信号的瞬时幅值和瞬时频率,从而获得原信号的时频分布。为评价该端点效应抑制方法的抑制效果,定义一种评价标准,通过与其他两种端点效应抑制方法进行比较,验证该方法的优越性。仿真和试验结果表明该方法能够有效抑制LMD端点效应,实现旋转机械故障的有效诊断。
[Abstract]:Local mean decomposition (Local mean decomposition,LMD) shows its unique analytical ability in analyzing nonlinear and nonstationary signals and can effectively obtain the time-frequency characteristics of non-stationary signals. However, the endpoint effect in the process of local mean decomposition will lead to the distortion of the decomposition results. In view of this problem, a local mean decomposition endpoint effect suppression method based on symmetric difference energy operator demodulation is proposed from the point of view of vibration signal demodulation. The local mean decomposition method is used to decompose the original signal into a series of single-component signals. Then each single-component signal is demodulated by a three-point symmetric difference energy operator, and the instantaneous amplitude and frequency of each single-component signal are obtained. The time-frequency distribution of the original signal is obtained. In order to evaluate the inhibition effect of the end point effect suppression method, an evaluation criterion is defined. The superiority of the method is verified by comparing with the other two end point effect suppression methods. The simulation and experimental results show that the proposed method can effectively suppress the LMD endpoint effect and realize the fault diagnosis of rotating machinery.
【作者单位】：燕山大学河北省测试计量技术及仪器重点实验室;
【基金】：国家自然科学基金(51105323) 河北省自然科学基金(E2012203166)资助项目
【分类号】：TN911.6

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