| 基于改进灰色聚类分析的电力变压器故障诊断 |
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| 引用本文： | 郑蕊蕊,赵继印,王志男,吴宝春.基于改进灰色聚类分析的电力变压器故障诊断[J].吉林大学学报(工学版),2008,38(5):1237-1241. |
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| 作者姓名： | 郑蕊蕊 赵继印 王志男 吴宝春 |
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| 作者单位： | 吉林大学,通信工程学院,长春,130022 |
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| 基金项目： | 国家中小企业技术创新项目，吉林省长春市科技局科研项目 |
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| 摘 要： | 提出了基于高斯白化权函数的灰色聚类算法和高斯白化权函数参数σ的选择方法,通过对34组故障变压器DGA数据的学习,初步确定了σ参数值。实验分析证明,本文提出的故障诊断方法与实际检测结果一致,具有一定的有效性和实用性,并且具有分析速度快、实时性好的优点。
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| 关 键 词： | 自动化技术 电力变压器 灰色聚类 高斯白化权函数 故障诊断 |
Power transformer fault diagnosis based on improved gray clustering analysis |
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| ZHENG Rui-rui,ZHAO Ji-yin,WANG Zhi-nan,WU Bao-chun.Power transformer fault diagnosis based on improved gray clustering analysis[J].Journal of Jilin University:Eng and Technol Ed,2008,38(5):1237-1241. |
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| Authors: | ZHENG Rui-rui ZHAO Ji-yin WANG Zhi-nan WU Bao-chun |
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| Affiliation: | College of Communication Engineering;Jilin University;Changchun 130022;China |
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| Abstract: | A gray clustering algorithm based on Gauss whitening weighting function and a method to choose the parameter σ of the function were proposed.The values of the parameter σ were defined preliminarily after studying the DGA data of 34 groups of the fault power transformers.The experimental analysis demonstrates that the proposed fault diagnosis method leads to the results in good agreement with those by practical detections.This method seems effective and practical,and is charaterized by fast analysis and good real-timeness. |
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| Keywords: | automatic technology power transformer gray clustering Gauss whitening weighting function fault diagnosis |
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