基于VMD-EV的天然气管道小泄漏信号去噪研究
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摘要
针对VMD在有效分量选取方面存在的问题,提出了一种VMD与能量值结合的信号去噪算法。利用VMD算法将输入信号分解成K个带限固有模态函数(BLIMFs),分别计算每个BLIMF的概率密度函数的能量值,通过评估两个相邻能量值之间的变化选取有效模态重构信号。试验结果表明,该算法能够有效应用于天然气管道小泄漏信号的去噪处理。
With respect to the problem of selection of effective components in VMD,a signal denoising algorithm based on VMD and energy value was proposed in this paper. The VMD algorithm was used to decompose the input signal into K band limited intrinsic modal functions( BLIMFs) and calculate the energy value of the probability density function of each BLIMF and select the effective mode reconfiguration signal by evaluating the variation between two neighboring energy values. The test results show that the algorithm can be applied to the denoising of small leakage signals in natural gas pipelines.
With respect to the problem of selection of effective components in VMD,a signal denoising algorithm based on VMD and energy value was proposed in this paper. The VMD algorithm was used to decompose the input signal into K band limited intrinsic modal functions( BLIMFs) and calculate the energy value of the probability density function of each BLIMF and select the effective mode reconfiguration signal by evaluating the variation between two neighboring energy values. The test results show that the algorithm can be applied to the denoising of small leakage signals in natural gas pipelines.
引文
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[2]毛伟.往复式压缩机气阀磨损故障特征提取的研究[J].流体机械,2016,44(6):41-46.
[3] Dragomiretskiy K,Zosso D. Variational mode decomposition[J]. IEEE Transactions on Signal Processing,2014,62(3):531-544.
[4]吕中亮.基于变分模态分解与优化多核支持向量机的旋转机械早期故障诊断方法研究[D].重庆:重庆大学,2016.
[5] Lahmiri S,Boukadoum M. Biomedical image denoising using variational mode decomposition[C]//Biomedical Circuits and Systems Conference. IEEE,2014.
[6] Mohanty S,Gupta K K,Raju K S. Bearing fault analysis using variational mode decomposition[C]//International Conference on Industrial&Information Systems. IEEE,2015.
[7]姜华伟.基于风帽压力波动的流化床气固流态化特征研究[D].北京:华北电力大学,2013.
[8]肖怀硕,李清泉,施亚林,等.灰色理论-变分模态分解和NSGA-Ⅱ优化的支持向量机在变压器油中气体预测中的应用[J].中国电机工程学报,2017,37(12):3643-3653.
[9] An Xueli,Yang Junjie. Denoising of hydropower unit vibration signal based on variational mode decomposition and approximate entropy[J]. Transactions of the Institute of Measurement and Control,2016,38(3):282-292.
[10]王秀芳,檀丽丽,高丙坤,等.变分模态分解和相关系数联合算法在管道泄漏检测中的应用[J].压力容器,2016,33(12):59-63.
[11]王秀芳,檀丽丽,姜春雷,等.基于互信息的VMD算法在管道泄漏检测中的应用[J].压力容器,2017,34(8):75-80.
[12] Ma W,Yin S,Jiang C,et al. Variational mode decomposition denoising combined with the Hausdorff distance[J]. Review of Scientific Instruments,2017,88(3):035109.
[13]阎晓红.基于混合数据的非参数模型设定检验研究[D].天津:天津财经大学,2013.
[14]穆钢,史坤鹏,安军,等.结合经验模态分解的信号能量法及其在低频振荡研究中的应用[J].中国电机工程学报,2008,28(19):36-41.