[1]张亮,张认成,吴仕平,等.利用弧声信号的电弧预警保护系统设计[J].华侨大学学报(自然科学版),2010,31(5):496-498.[doi:10.11830/ISSN.1000-5013.2010.05.0496]
 ZHANG Liang,ZHANG Ren-cheng,WU Shi-ping,et al.Design of Arcing Early Warning and Protective System Using Arc Sound Signal[J].Journal of Huaqiao University(Natural Science),2010,31(5):496-498.[doi:10.11830/ISSN.1000-5013.2010.05.0496]
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利用弧声信号的电弧预警保护系统设计()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第31卷
期数:
2010年第5期
页码:
496-498
栏目:
出版日期:
2010-09-20

文章信息/Info

Title:
Design of Arcing Early Warning and Protective System Using Arc Sound Signal
文章编号:
1000-5013(2010)05-0496-03
作者:
张亮张认成吴仕平蔡洁
华侨大学机电及自动化学院
Author(s):
ZHANG Liang ZHANG Ren-cheng WU Shi-ping CAI Jie
College of Mechanical Engineering and Automation, Huaqiao University, Quanzhou 362021, China
关键词:
故障电弧 开关柜 弧声 预警 电压
Keywords:
fault arc switchboard arc sound early warning voltage
分类号:
TM501.2
DOI:
10.11830/ISSN.1000-5013.2010.05.0496
文献标志码:
A
摘要:
基于开关柜电压在电弧故障时电压变化率在零区时最大的规律,研制一种弧声信号的电弧预警保护系统.根据电弧发生燃弧现象之前会有比较明显的弧声信号的情况,用相应的声音传感器将电弧声音从复杂的背景噪声中提取出来,经过信号调理电路和计算机软件系统的运算,设定合适的幅值阈值,实现对故障电弧的报警.实验结果表明,设计的电弧预警保护系统效果良好.
Abstract:
An arcing early warning and protective system using arc sound signa is designed,based on zero zone’s largest rule of the change rate of switchboard voltage in arc fault.According to the fact that there exists arc sound more obviously before its burning,the arc sound was picked up from the complicated background noise using the corresponding sound sensors.Then,the appropriate amplitude threshold values were established by signal conditioning circuits and the calculation of computer software systems to realize the early warning of fault arc.Experimental results have proven the good effects of the designed arcing early warning and protective system.

参考文献/References:

[1] LAND H B, EDDINS C L, GAUTHIER L R. Design of a sensor to predict arcing faults in nuclear switchgear [J]. IEEE Transactions on Nuclear Science, 2003(4):1161-1165.doi:10.1109/TNS.2003.815098.
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[4] 蔡彬, 陈德桂, 吴锐. 开关柜内部故障电弧的在线检测和保护装置 [J]. 电工技术学报, 2005, (10):83-87.doi:10.3321/j.issn:1000-6753.2005.10.014.
[5] 仲启树, 张认成, 杜建华. 数据融合技术在火灾早期探测中的应用 [J]. 华侨大学学报(自然科学版), 2008(1):11-13.

备注/Memo

备注/Memo:
福建省科技计划重点项目(2009H0031)
更新日期/Last Update: 2014-03-23