轻工机械2013，Vol.31Issue(4)：64-68,5.DOI:10.3969/j.issn.1005-2895.2013.04.017
基于HHT谱的齿轮状态监测与识别的方法
Approach to Condition Monitoring and Identification of Gearbox Based on HHT Spectrum
摘要
Abstract
As Wigner-Ville Distribution (WVD) has some disturbance term which will results in a false signal and not high frequency resolution at some time,a novel method on " signal purification and reconstruction--Hilbert-Huang Transform (HHT) spectrum analyses" was proposed to carry on condition monitoring and state recognition of mechanical equipment.The compared signals included:single signal and composite signal of harmonic wave,amplitude modulation and frequency modulation.The study shows that:HHT Spectrum has higher frequency resolution than WVD,and it overcomes the latter defects.But the HHT spectrum is very sensitive to noise,so the analyzed signal should be extracted and remodeled,and then analysed by HHT spectrum.Real signals of fault gear were also analyzed by this method,and it indicated that the method can be a new and effective way for fault diagnosis and condition monitoring.关键词
故障诊断/齿轮故障/HHT谱/Wigner-Ville分布Key words
fault diagnosis / gear fault / HHT spectrum / Wigner-Ville distribution分类
机械制造引用本文复制引用
陈志新,谢世坤..基于HHT谱的齿轮状态监测与识别的方法[J].轻工机械,2013,31(4):64-68,5.基金项目
2012年度北京市委组织部优秀人才培养资助个人项目D类(2012D00500900002) （2012D00500900002）
北京物资学院青年基金项目(2012XJQN014) （2012XJQN014）
中国商品学会2012年度规划项目(SPXH201203) （SPXH201203）
