计算机工程与应用Issue(10)：205-210,6.DOI:10.3778/j.issn.1002-8331.1309-0150
基于EMD阈值方法的轴承故障振动信号去噪
De-noising of rolling bearing fault vibration signal based on empirical mode decomposition threshold
摘要
Abstract
Caused by random noise signals in the analysis of actual signal interference, and influence to obtain useful information seriously, in this paper, the wavelet threshold denoising principle is applied to the Empirical Mode Decompo-sition(EMD), the EMD threshold denoising method is proposed. Firstly to actual noise signal EMD, according to the decomposition after each Intrinsic Mode Function(IMF)adopts adaptive threshold denoising, then reconstructs signal and gets after de-noising of the signal, then carries on the analysis to obtain useful information. Finally the method and the traditional denoising method is applied to practical engineering fault vibration signal analysis in the comparative study shows that the method of denoising performance is superior, can be obtained the higher signal-to-noise power ratio and the actual signal extraction of fault feature frequency effectively, after de-noising diagnosis effect is obvious.关键词
经验模态分解(EMD)/信号降噪/小波阈值/固有模态函数(IMF)Key words
Empirical Mode Decomposition(EMD)/signal denoising/wavelet thresholding/Intrinsic Mode Function(IMF)分类
信息技术与安全科学引用本文复制引用
包广清,常勇,杨国金..基于EMD阈值方法的轴承故障振动信号去噪[J].计算机工程与应用,2015,(10):205-210,6.基金项目
国家自然科学基金项目（No.51267011）；甘肃省杰出青年基金项目（No.1111RJDA007）；甘肃省财政厅科研业务费项目（No.110385B120）。 （）
