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基于声电联合的开关柜局部放电在线监测系统研究
引用本文:张晓新,任庆庆,林峰,王盛强. 基于声电联合的开关柜局部放电在线监测系统研究[J]. 电测与仪表, 2019, 56(23): 107-111
作者姓名:张晓新  任庆庆  林峰  王盛强
作者单位:沈阳航空航天大学电子与信息工程学院,沈阳110136;辽宁太阳能研究应用有限公司,沈阳110136
摘    要:针对高压开关柜局部放电的在线监测,分析了多种局部放电类型和局部放电的检测方法,主要研究了用于高压开关柜的超高频检测法和超声波检测法的实现方法,设计了一种声电联合在线监测系统。该系统使用峰值检测芯片代替传统的检波降频电路,增加了系统的可控性。系统采用FPGA芯片处理超高频信号和超声波信号,实时性好,响应速度快。结果表明,系统能够独立进行信号的采集和处理,准确地识别出放电类型,完成放电信号的在线监测和定位,保障了开关柜的运行安全。

关 键 词:开关柜  局部放电  声电联合  在线监测  峰值检测
收稿时间:2018-10-22
修稿时间:2018-10-22

The Research Based on Acoustic and Electric Combination Method for Switchgear Partial Discharge Online Monitoring System
Zhang Xiaoxin,Ren Qingqing,Lin Feng and Wang Shengqiang. The Research Based on Acoustic and Electric Combination Method for Switchgear Partial Discharge Online Monitoring System[J]. Electrical Measurement & Instrumentation, 2019, 56(23): 107-111
Authors:Zhang Xiaoxin  Ren Qingqing  Lin Feng  Wang Shengqiang
Affiliation:School of Electronic and Information Engineering,Shenyang Aerospace University,School of Electronic and Information Engineering,Shenyang Aerospace University,School of Electronic and Information Engineering,Shenyang Aerospace University,Liaoning Solar Research Application corporation, Shenyan
Abstract:This paper analyzes of various partial discharge types and partial discharge detection methods, for high voltage switchgear partial discharge online monitoring. Among these detection methods, UHF and ultrasonic detection method are mainly studied. Based on this, an acoustic and electric combined online monitoring system is designed. The system uses a peak detection chip to detect peak voltage of partial discharge signal, which can increases the controllability of the system, and uses FPGA chip to deal with UHF signals and ultrasonic signals. It shows good real-time performance and fast response characteristics. The system can quickly deal with signals, and accurately identify the type of partial discharge, in order to ensures the safe operation of the switchgear.
Keywords:Switchgear, partial  discharge , acoustic  and electrical  combination, online  monitoring, Peak  detection.
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