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文章摘要
基于WPT和参数优化的VMD谐波检测方法
VMD harmonic detection method based on WPT and mode decomposition number optimization
Received:May 01, 2020  Revised:June 06, 2020
DOI:10.19753/j.issn1001-1390.2002.08.023
中文关键词: 谐波检测  变分模态分解  小波包  模态分解数  参数优化
英文关键词: harmonic  detection, VMD, WPT, MDN, parameter  optimization
基金项目:山东省自然科学基金资助(ZR2016EEQ20)
Author NameAffiliationE-mail
Shi Yao School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo 1033674719@qq.com 
Wang Yajing* School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo wangyajing@sdut.edu.cn 
Mei Yu School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo my101001000@126.com 
Liu Shiqi School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo 1119805906@qq.com 
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中文摘要:
      针对变分模态分解(Variational Mode Decomposition, VMD)在谐波检测中易受噪声影响、分解模态个数K难以确定的问题,提出一种基于小波包降噪(WPT)和参数优化的VMD谐波检测方法。首先,对谐波信号进行WPT降噪处理,然后对降噪后的信号进行VMD预分解,根据解析分量的瞬时频率均值选取最优的K值,最后对降噪信号进行最优K值VMD分解并提取频率,用希尔伯特变换进行幅值检测。仿真结果与对比表明,该方法能够有效的选择VMD分解模态个数,减小噪声影响,且具有良好的检测精度。
英文摘要:
      For the variational mode decomposition (VMD) is susceptible to noise and the mode decomposition number (MDN) is difficult to be determined in harmonic detection, a VMD harmonic detection method based on Wavelet Packet Transform (WPT) denoising and MDN optimization is proposed. Firstly, WPT is used to reduce the noise of harmonic signal, then VMD is used to predecompose the denoised signal, and the optimal MDN is selected according to the instantaneous frequency mean of analytical component. Finally, VMD is used to decompose the denoised signal under the optimal NMD, and harmonic parameters are detected by the Hilbert transform. The simulation results show that method can effectively select MDN, reduce the impact of noise, and has good accuracy.
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