旋转机械振动信号基于EMD的HT和Winger分布时频分析比较  

The Comparison of Vibration Signals' Time-frequency Analysis Between EMD-based HT and Winger Distribution Method In Rotating Machinery

作　　者：胡劲松[1] 杨世锡[2] 周方洁 吴昭同[2] 

机构地区：[1]浙江大学宁波保税区博士后工作站,宁波315800 [2]浙江大学,杭州310027 [3]宁波理工监测有限公司,宁波315800

出　　处：《汽轮机技术》2003年第5期307-309,318,共4页Turbine Technology

基　　金：受国家自然科学基金(50205025);浙江省自然科学基金项目(5001004)资助

摘　　要：基于经验模态分解(EmpiricalModeDecomposition,EMD)的希尔伯特变换(HilbertTransformation,HT),是先把一列时间序列数据通过经验模态分解,然后经过希尔伯特变换获得频谱的信号处理新方法。介绍了该方法的理论和算法。对仿真和旋转机械油膜涡动故障振动信号分别用基于EMD的HT和Winger分布的时频分析进行了比较研究,研究结果说明,用基于EMD的HT方法对旋转机械的振动信号进行时频分析比Winger分布分析有效。The method of empirical mode decomposition (EMD) based Hilbert Transformation(HT) is that, first, separate the series data to components with different time scale, say, intrinsic mode function (IMF), using EMD, then apply the Hilbert transformation to every IMFs. The result is the time-frequency spectrum of the data. The method and algorithm was explained in detail. Emulation and oil film whirling vibration signals were analyzed using the method. After applied Hilbert transformation to the signals' IMFs, the time-frequency spectrums were obtained. The Winger Distribution analysis method was applied to the signals also. Compared the two time-frequency method, The EMD-based HT timefrequency analysis of the vibration signal is more accurate than the Winger distribution's for represents the aptitudes and frequencies changes following time. The conclusion was deduced that the EMD-based HT timefrequency analysis method is better than the Winger distribution's in the field of vibration signals' processing in rotating machinery.

关 键 词：旋转机械 振动信号 希尔伯特变换(HT) 经验模态分解(EMD) winger分布 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]