【作者】 任学平； 汤晓峰； 王培； 武磊；

【Author】 REN Xueping TANG Xiaofeng WANG Pei WU Lei (Mechanical Engineering school,Inner Mongolia University of Science and Technology,Baotou 014010,China)

【机构】 内蒙古科技大学机械工程学院；

【摘要】 针对直接应用希尔伯特黄变换方法无法辨别出信号中噪声信号的缺点,提出了基于希尔伯特黄变换和相关分析相结合的方法,对含噪信号进行降噪。该方法通过对分解得出若干固有模态函数(IMF)进行相关性预处理达到对信号降噪目的。通过模拟仿真和实测汽车发动机振动信号的应用,验证了该方法能有效的降低发动机振动信号中的噪声。更多还原

【Abstract】 For the shortcomings of the direct application of Hilbert-Huang transform methods can not identify the noise signal in the signal,a method for the application of Hilbert Huang transform and correlation analysis combined is presented,and by analyzing signal with noise de-noising.This method is derived by decomposition of a number of intrinsic mode function(IMF) carried out the relevance of pretreatment to achieve the purpose of the signal de-noise.Simulation and the measured automotive engine vibration signals application show that this method can more effectively reduce noise information of engine vibration signals..更多还原