基于均值包络ITD和谱峭度的特征频率提取方法  

Feature Frequency Extraction Method Based on Mean Envelope ITD and Spectral Kurtosis

作　　者：张淑清[1] 董玉兰[1] 张立国[1] 严冰[1] 黄文静[1] 徐剑涛[1] 贺朋[1] 

机构地区：[1]燕山大学电气工程学院河北省测试计量技术及仪器重点实验室,河北秦皇岛066004

出　　处：《计量学报》2017年第5期598-601,共4页Acta Metrologica Sinica

基　　金：国家自然科学基金(51475405;61077071);河北省自然科学基金(F2015203413;F2015203392);河北省高等学校科技研究重点项目(ZD2014100);秦皇岛市科技计划(201502A043)

摘　　要：提出基于均值包络本征时间尺度分解(ITD)和谱峭度的特征频率提取方法。用于轴承故障诊断中,振动信号经均值包络ITD分解和重构,通过谱峭度选取故障共振频率带,最后比较包络谱与特征频率做出故障诊断。对美国凯斯西储大学滚动轴承数据的处理结果证明,该方法得到的谱线更加明显,诊断更加准确。A feature frequency extraction method based on mean envelope ITD and spectral kurtosis is proposed. Was applied to the bearing fault diagnosis, the vibration signal was first decomposed and reconstructed by the mean lTD. Then the resonance frequency band was selected automatically through the spectrum kurtosis. Finally, the bearing fault could be diagnosed by comparing the envelope spectrum and the characteristic frequency. The analysis result to the data from Case Western Reserve University bearing center and real project proves that it could get more obvious spectrum and more accurate diagnosis by the mean envelope ITD and spectral kurtosis method.

关 键 词：计量学 特征频率提取 轴承故障诊断 均值包络本征时间尺度分解 谱峭度 包络分析 

分 类 号：TB936[一般工业技术—计量学]