电工技术学报  2020, Vol. 35 Issue (zk1): 294-301    DOI: 10.19595/j.cnki.1000-6753.tces.L80062
电力系统 |
基于改进极值波延拓的极点对称模态分解端点效应抑制方法
宿文才, 张树团, 刘陵顺
海军航空大学 烟台 264001
Extreme-Point Symmetric Mode Decomposition Endpoint Reduction Method Based on Improved Extremal Wave Extension
Su Wencai, Zhang Shutuan, Liu Lingshun
Navy Aviation University Yantai 264001 China
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摘要 针对极点对称模态分解(ESMD)在电力谐波检测中出现端点效应问题,在分析总结目前抑制方法的基础上,该文提出了一种基于改进极值波延拓与对称中点插值相结合的ESMD端点效应抑制方法。首先利用改进极值波延拓将信号在两端延拓,然后采用对称中点插值进行ESMD分解,截去两端延拓部分,最大限度遏制端点效应污染内部信号。同时,提出一种自适应确定有效数据长度的端点效应评价指标,可有效避免人为确定数据长度导致的问题,更为客观地量化各固有模态分量(IMF)端点“漂移”程度。通过仿真和试验结果分析,并与极值波延拓作对比,证明了该方法抑制ESMD电力谐波端点效应的有效性。
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关键词 极点对称模态分解改进极值波延拓对称中点插值端点效应评价指标    
Abstract:Extreme-point symmetric mode decomposition (ESMD) has an end-effect problem in power harmonic detection. Based on the analysis and summary of current suppression methods, an extended-point-symmetry-mode-decomposition algorithm based on improved extreme-wave extension and symmetry is proposed. Midpoint interpolation combined with the ESMD endpoint effect suppression method. Firstly, the signal is extended at both ends by using the modified extremum wave continuation method, and then the symmetry mid-point interpolation is used to perform the ESMD decomposition, and the continuation parts at both ends are truncated to limit the end effect from contaminating the internal signal. At the same time, an end-effect evaluation index that adaptively determines the effective data length is proposed, which can effectively avoid the problem caused by artificially determining the data length, and more objectively quantify the degree of "drift" of the endpoints of the intrinsic mode function (IMF). Through the simulation and experimental results analysis, and compared with the extreme wave extension, this method is proved to be effective in suppressing the end effect of the ESMD power harmonics.
Key wordsExtreme-point symmetric mode decomposition (ESMD)    improved extreme value wave continuation    symmetric midpoint interpolation    endpoint effect    evaluating indicator   
收稿日期: 2018-06-12      出版日期: 2020-03-05
PACS: TM935  
基金资助:国家自然科学基金资助项目(51377168)
通讯作者: 宿文才 男,1992生,硕士研究生,研究方向为电机控制与故障诊断。E-mail: wencai_su@163.com   
作者简介: 张树团 男,1977年生,副教授,硕士生导师,研究方向为电机控制与故障诊断。E-mail: shutuanzhang@163.com
引用本文:   
宿文才, 张树团, 刘陵顺. 基于改进极值波延拓的极点对称模态分解端点效应抑制方法[J]. 电工技术学报, 2020, 35(zk1): 294-301. Su Wencai, Zhang Shutuan, Liu Lingshun. Extreme-Point Symmetric Mode Decomposition Endpoint Reduction Method Based on Improved Extremal Wave Extension. Transactions of China Electrotechnical Society, 2020, 35(zk1): 294-301.
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