利用EMD方法和小波变换进行信号奇异性检测  

Application of EMD and Wavelet Transform to the Detection of Signal Singula rity

作　　者：赵犁丰[1] 张晓亮[1] 宋洁[1] 

机构地区：[1]中国海洋大学电子工程系,青岛266071

出　　处：《青岛海洋大学学报（自然科学版）》2003年第5期759-763,共5页Journal of Ocean University of Qingdao

基　　金：青岛市科委课题"多自由度减振系统的研究"资助

摘　　要：本文采用经验模式分解 (EMD)与小波变换相结合的方法分析非平稳机械故障信号的奇异性 ,进行机械故障诊断。与直接对原信号进行小波分析相比较 ,该方法提取的奇异性特征明显。数值模拟和对故障轴承的振动信号分析表明了该方法的有效性。In this paper the EMD (empirical mode decomp os ition) method and wavelet transform method are used in combination to detect the singularity of non stationary signals from a faulty machine. Based on the dete cted singularity the fault can be diagnosed. The singularity character extracted by using this method is clearer than by using the wavelet transform method alon e. The numerical simulation and the analysis of the vibration signal from the be aring trouble show that this method is effective.

关 键 词：振动 信号分析 经验模式分解 小波变换 奇异性 机械 故障诊断 EMD 

分 类 号：TH17[机械工程—机械制造及自动化] TH113.1