基于级联自适应二阶三稳态随机共振降噪的EMD方法

EMD Method Based on Cascaded Adaptive Second-order Tristable Stochastic Resonance Noise Reduction

针对经验模态分解(EMD)方法在强噪声情况下分解质量不佳、提取弱信号特征效果不好的问题,提出了基于级联自适应二阶三稳态随机共振(CASTSR)降噪的EMD方法。该方法首先采用CASTSR方法对待测信号进行降噪预处理,之后用EMD分解,最后从IMF1中提取特征频率。仿真和轴承故障数据分析结果表明,该方法能够提高EMD分解的质量,实现弱信号特征提取。

Aiming at the problem that the empirical mode decomposition(EMD)method has poor decomposition quality under strong noise conditions and poor extraction of weak signal features,a Cascaded Adaptive Second-order Tristable Stochastic Resonance(CASTSR)reduction is proposed in this paper.This Noisy EMD method first uses the CASTSR method to preprocess the signal to be denoised,then uses EMD to decompose,and finally extracts the characteristic frequency from IMF1.Simulation and bearing fault data analysis results show that this method can improve the quality of EMD decomposition and realize weak signal feature extraction.