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基于小波包的绝缘子污闪放电声信号特征检测
引用本文:王洪坤,聂晶. 基于小波包的绝缘子污闪放电声信号特征检测[J]. 电测与仪表, 2016, 53(8): 102-107. DOI: 10.3969/j.issn.1001-1390.2016.08.018
作者姓名:王洪坤  聂晶
作者单位:石河子大学机械电气工程学院,新疆石河子,832003
基金项目:石河子大学优秀青年项目,项目编号:2013ZRKXYQ-YD21
摘    要:随着我国大电网的形成,电网安全就显得尤其重要,而绝缘子污闪事故严重影响着高压电网的运行安全。本文通过对绝缘子污闪放电声信号的特点分析,发现声信号与绝缘子污闪之间存在关联。将绝缘子污闪声信号进行小波包分析,得到了污闪声信号的一般特征,可以作为污闪预警可靠的判断依据。

关 键 词:污闪  声信号  小波包  检测
收稿时间:2015-10-14
修稿时间:2015-11-25

Characteristic detection of acoustic aignal of insulator pollution flashover based on wavelet packet
WANG Hong-kun and NIE Jing. Characteristic detection of acoustic aignal of insulator pollution flashover based on wavelet packet[J]. Electrical Measurement & Instrumentation, 2016, 53(8): 102-107. DOI: 10.3969/j.issn.1001-1390.2016.08.018
Authors:WANG Hong-kun and NIE Jing
Affiliation:The Mechanical and Electrical Institute,Shihezi University,The Mechanical and Electrical Institute,Shihezi University
Abstract:With the formation of the large power grid, the security of the network is particularly important. The pollution flashover of insulators is a serious impact on the operation safety of high voltage power network. In this paper, the characteristics of the pollution flashover of insulators are analyzed, and the correlation between the sound signal and the insulator pollution flashover is found. The pollution flashover of insulator is analyzed by wavelet packet analysis, and the characteristics of the pollution flashover are obtained.
Keywords:pollution flashover  sound signal  wavelet packet  detection
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