相关系数判决的EMD在振动数据趋势项提取中的应用

Application of EMD of Correlation Coefficient Judgment in the Extraction of Vibration Data Trend

提出了一种利用经验模态分解提取振动数据中趋势项的新方法。采用经验模态分解将原始信号分解为若干固有模态函数,计算各IMF分量与原始信号的相关系数,以相关系数为判据,设定判定阈值对趋势项与真实信号的IMF分量进行区分。仿真模拟和工程试验数据处理结果证明,该方法对趋势项类型具有普适性,且不易受到模态混叠效应的影响。

A new method for extracting the trend items in vibration data using empirical mode decomposition. The original signal is decomposed into several intrinsic modal functions by empirical mode decomposition,the correlation coefficient between IMF component and original signal is calculated,based on the correlation coefficient,the threshold is set to distinguish the trend item from the IMF component of the real signal. Simulation date and real test data processing results show that this method has universality and it is hard to be affected by the mode aliasing effect.