基于HHT谱的齿轮状态监测与识别的方法

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Approach to Condition M onitoring and Identification ofGearbox Based on HHT SpectrumCHEN Zhixin ，XIE Shikun。

(1.School of Logistics，Beijing Wuzi University，Beijing 101 149，China；2.Colege of Mechanical and Electrical Engineering，Jinggangshan University，Ji atl，Jiangxi 343009，China)Abstract：As Wigner-Vile Distribution(WVD)has some disturbante term which will results in a false signal and nothigh frequency resolution at some time，a novel method on signal purification and reconstruction- Hilbert-HuangTransform (HHT)spectrum analyses”was proposed to carry on condition monitoring and state recognition of mechanicalequipment.The compared signals included：single signal and composite signal of harmonic wave，amplitude modulationand frequency modulation.The study shows that：HHT Spectrum has higher frequency resolution than WVD，and itovercomes the later defects.But the HHT spectrum is very sensitive to noise，SO the analyzed signal should be extractedand remodeled，and then analysed by HHT spectrum.Real signals of fault gear were also analyzed by this method，andit indicated that the method can be a new and effective way for fault diagnosis and condition monitoring。

Key words：fault diagnosis；gear fault；HHT spectrum；Wigner-Ville distribution对某非平稳信号进行时频联合分布分析时，Wigner-Vile分布(Wigner-Vile Distribution，WVD)应用得较为广泛 1-3]。但是在实际使用时它有某些明显的缺陷，比如：干扰项的存在导致结果中出现虚假信号、有时频率分辨率不够高等。在非线性非平稳信号处理领域出现的-种有效的信号分析工具--Hilbert-Huang变换(Hilbert-Huang Transform，HHT)，是-种自适应的信号处理方法。Dejie Yu等 提出了- 种基于 HHT的时频熵方法来诊断齿轮故障。Wen。

Chang Tsao等 提出选择合适的 IMFs来作包络分析以诊断轴承故障。T.Y.wu等 提出了利用 HHT和瞬态标准频率来诊断变转速情况下的齿轮故障。文中将它应用于齿轮的时频分析，通过多种仿真信号与WVD对比，说明：HHT谱比WVD有更高的频率分辨收稿日期：2012-12-26：修回日期：2013-03-20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(2012D005009000002)；北京物资学院青年基金项 目(2012XJQN014)；中国商品学会2012年度规划项目(SPXH201203)作者简介：陈志新(1973)，男，湖北孝感人，北京科技大学博士后，主要研究方向为信号处理、小波分析与超声检测。E-mail：zxchen05### 163.corn