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结合经验模态分解的振动信号趋势项提取方法
引用本文:李振兴.结合经验模态分解的振动信号趋势项提取方法[J].飞行器测控学报,2011(1):56-60.
作者姓名:李振兴
作者单位:91550部队;
摘    要:提出一种结合经验模态分解(Empirical Mode Decomposition,EMD)的振动信号趋势项提取方法。利用EMD将信号分解为一系列固有模态函数(Intrinsic Mode Function,IMF),根据振动信号过零点特性,对属于趋势项的IMF分量进行判别,并对判别为趋势项的IMF分量进一步利用最小二乘法进行趋势项拟舍,将拟合结果求和作为最终趋势项。数值模拟试验和实测数据处理结果表明,这一方法无需假设趋势项类型,且可不受EMD过程中模态混叠和端点效应的影响,使趋势项提取更为准确。

关 键 词:振动信号  经验模态分解  趋势项  最小二乘

Method of Vibration Signal Trend Extraction Combined by EMD
LI Zhenxing.Method of Vibration Signal Trend Extraction Combined by EMD[J].Journal of Spacecraft TT&C Technology,2011(1):56-60.
Authors:LI Zhenxing
Institution:LI Zhenxing(PLA Unit 91550,Dalian,Liaoning Province 116023)
Abstract:A method of trend extraction for vibration signal combined by Empirical Mode Decomposition is proposed in this paper.Signals can be separated by Empirical Mode Decomposition into series of Intrinsic Mode Function components comprising trend components and can be judged according to characteristics of cross zero of vibration signal.Then,the trend extracts by sum the results of least square fitting.Simulated and measured signal processing shows the effectiveness of this approach without the influence of mode ...
Keywords:Vibration Signal  EMD(Empirical Mode Decomposition)  Trend  Least Square  
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