| 局部放电信号试验模拟及统计特征提取 |
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| 引用本文： | 荆文忠,何兰香,郑殿春.局部放电信号试验模拟及统计特征提取[J].信息技术,2008,32(10). |
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| 作者姓名： | 荆文忠 何兰香 郑殿春 |
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| 作者单位： | 1. 黑龙江送变电工程公司,哈尔滨,150040
2. 哈尔滨理工大学电气与电子工程学院,哈尔滨,150040 |
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| 摘 要： | 模式识别中,特征是决定相似性与分类的关键.对于局部放电模式识别,如何找到合适的局部放电特征量成为认知与识别的核心问题.在参阅大量国内外现有的局部放电模式识别文献基础上,依据局部放电产生机理,设计了电极模型.通过对放电信号进行统计特征提取,为电力系统运行中的故障预测和诊断提供重要依据.
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| 关 键 词： | 局部放电 模式识别 特征提取 |
Experiment simulation and extracting statistical character of partial discharge |
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| JING Wen-zhong,HE Lan-xiang,ZHENG Dian-chun.Experiment simulation and extracting statistical character of partial discharge[J].Information Technology,2008,32(10). |
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| Authors: | JING Wen-zhong HE Lan-xiang ZHENG Dian-chun |
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| Affiliation: | JING Wen-zhong1,HE Lan-xiang2,ZHENG Dian-chun2(1.Heilongjiang Transmission & Transformation Construction Company,Harbin 150040,China,2.Electrical & Electronic Engineering College,Harbin University of Science & Technology,China) |
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| Abstract: | In pattern recognition,key of comparability and classification are decided by character.To partial discharge pattern recognition,the central problem of cognition and recognition is how to find appropriate character of partial discharge.In this paper,based on consulting lots of home and literature abroad and according to partial discharge mechanism of production,discharge model is designed.By extracting statistical character of partial discharge signals offers most important gist for the malfunction forecast... |
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| Keywords: | partial discharge pattern recognition extracting character |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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