引用本文:尚海昆,许俊彦,李宇才,林伟.CEEMDAN在变压器振动信号提取中的应用[J].控制理论与应用,2022,39(3):459~468.[点击复制]
SHANG Hai-kun,XU Jun-yan,LI Yu-cai,LI Wei.Application of CEEMDAN in vibration signal extraction of transformer[J].Control Theory and Technology,2022,39(3):459~468.[点击复制]
CEEMDAN在变压器振动信号提取中的应用
Application of CEEMDAN in vibration signal extraction of transformer
摘要点击 1595  全文点击 627  投稿时间:2021-07-23  修订日期:2021-12-18
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DOI编号  10.7641/CTA.2021.10656
  2022,39(3):459-468
中文关键词  自适应白噪声完整集成经验模态分解  变压器  振动信号  去噪  相关系数
英文关键词  CEEMDAN  transformer  vibration signal  denoising  correlation coefficient
基金项目  国家自然科学基金项目(SGLNDK00KJJS1500008), 东北电力大学博士科研基金项目(BSJXM–201406)资助.
作者单位E-mail
尚海昆* 东北电力大学 shanghk@neepu.edu.cn 
许俊彦 东北电力大学  
李宇才 东北电力大学  
林伟 东北电力大学  
中文摘要
      有效提取变压器振动信息对于识别变压器运行状态具有重要的现实意义. 本文提出一种基于自适应白噪 声完整集成经验模态分解(CEEMDAN)的变压器振动信号分析方法. 论文首先采用CEEMDAN将原始变压器振动信 号分解成有限的固有模态分量(IMF), 之后利用相关系数(CC)提取有效的IMF分量. 最后, 将提取出的有效IMF分量 进行信号重构得到消噪结果. 仿真及实测信号分析表明, 该方法能够较准确实现信号消噪, 成功提取出变压器振动 信号的有效信息, 验证了该方法的有效性和实用性.
英文摘要
      It is of great practical significance to extract transformer vibration information effectively for the identification of transformer operation state. In this paper, a new method of transformer vibration signal analysis based on adaptive white noise integrated empirical mode decomposition (CEEMDAN) is proposed. Firstly, the original transformer vibration signal is decomposed into limited intrinsic mode function (IMF) by using CEEMDAN, and then the effective IMF component is extracted by calculating correlation coefficient (CC). The effective IMF components are reconstructed to obtain the denoised results. The simulated signal and on-site signal analysis show that the method can achieve signal denoising accurately and extract the effective information of transformer vibration signal successfully. It verifies the effectiveness and practicability of the method.