| 基于CEEMDAN和HT的谐波检测新方法* |
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| 引用本文： | 张乐乐,王海云,王维庆.基于CEEMDAN和HT的谐波检测新方法*[J].电测与仪表,2023,60(6):147-152. |
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| 作者姓名： | 张乐乐 王海云 王维庆 |
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| 作者单位： | 新疆大学 可再生能源发电与并网技术教育部工程研究中心,新疆大学 可再生能源发电与并网技术教育部工程研究中心,新疆大学 可再生能源发电与并网技术教育部工程研究中心 |
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| 基金项目： | 国家自然科学基金（51667020）；自治区教育厅重点项目（XJEDU2019I009）；自治区实验室开放课题（2018D04005）；教育部创新团队滚动项目（IRT-16R633） |
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| 摘 要： | 经验模态分解(EMD)作为希尔伯特-黄变换(HHT)的重要组成部分，为了克服其在谐波检测中出现的模态混叠、端点效应问题，提出采用自适应噪声完备集合经验模态分解(CEEMDAN)和希尔伯特变换(HT)相结合的谐波检测新方法。文章首先在理论上对比分析了EMD、EEMD以及CEEMDAN算法，研究CEEMDAN算法的特性。再用CEEMDAN算法对原始信号进行分解，得到固有模态函数(IMF)。最后用HT算法对每阶IMF分量进行分析，检测到谐波中包含的瞬时幅频信息。算例仿真结果表明，相对于HHT算法对信号的处理能力，文中提出的方法在谐波检测中有效地克服了EMD算法的弊端，提高了信号分解精度。
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| 关 键 词： | 经验模态分解 希尔伯特-黄变换 自适应噪声完备集合经验模态分解 希尔伯特变换 谐波 |
| 收稿时间： | 2020/6/18 0:00:00 |
| 修稿时间： | 2020/7/12 0:00:00 |
A new harmonic detection method based on CEEMDAN and HT |
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| Zhang Lele,Wang Haiyun,Wang Weiqing.A new harmonic detection method based on CEEMDAN and HT[J].Electrical Measurement & Instrumentation,2023,60(6):147-152. |
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| Authors: | Zhang Lele Wang Haiyun Wang Weiqing |
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| Affiliation: | Renewable Energy Power Generation and Grid Technology,Engineering Research Center of Ministry of Education,Xinjiang University,Renewable Energy Power Generation and Grid Technology,Engineering Research Center of Ministry of Education,Xinjiang University,Renewable Energy Power Generation and Grid Technology,Engineering Research Center of Ministry of Education,Xinjiang University |
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| Abstract: | Empirical mode decomposition (EMD) as Hilbert-Huang transform (HHT) is an important part of, in order to overcome its modal aliasing in harmonic detection, endpoint effect, the white noise is proposed adaptive complete integration of empirical mode decomposition (CEEMDAN) and Hilbert transform (HT) combined with the new method of harmonic detection.This method firstly compares and analyzes EMD, EEMD and CEEMDAN algorithm in theory, and studies the characteristics of CEEMDAN algorithm.Then, CEEMDAN algorithm is used to decompose the original signal to obtain the intrinsic modal function (IMF).Finally, the HT algorithm is used to analyze the IMF component of each order, and the instantaneous amplitude-frequency information contained in the harmonic is detected.The simulation results show that compared with the signal processing capability of HHT algorithm, the proposed method overcomes the disadvantages of EMD algorithm in harmonic detection and improves the signal decomposition accuracy. |
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| Keywords: | empirical mode decomposition Hilbert-Huang transform complete ensemble empirical mode decomposition with adaptive noise Hilbert transform harmonic |
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