期刊文献+

调光灯电弧电流的谐波分析 被引量:4

原文传递
导出
摘要 调光灯正常工作时与发生电弧时的电流波形非常接近,大大增加了准确判断线路中是否存在故障电弧的难度。进行了以调光灯为负载的模拟电弧实验。实测了正常和电弧两种情形下的电流波形。运用傅里叶变换,分别计算了两种情形下的总谐波畸变率及各次谐波的含有率,重点比较了一定次数范围内奇次和偶次谐波含有率的和在分布区间上的不同,并据此给出了一种判断调光灯电弧电流的方法。
出处 《电气应用》 北大核心 2012年第20期36-39,共4页 Electrotechnical Application
  • 相关文献

参考文献7

二级参考文献22

  • 1Tom Potter,颜培荣.AFCI技术在家用空调电源插头中的应用[J].电器,2004(9):36-37. 被引量:7
  • 2Underwriter Laboratories Inc. Standard for safety: arcfault circuit-interrupters, ANSI/UL 1699 [ S ]. 3rd ed, 2006.
  • 3George D Gregory, Gary Scott. The arc-fauh circuit interrupter: an emerging product [J]. IEEE Transactions on Industry Applications, 1998: 928-933.
  • 4Marty Ahrens. The U. S. fire problem overview report: leading causes and other patterns and trends [ J]. National Fire Protection Association, 2001.
  • 5George D Gregory, KonWong, Robert F Dvorak. More about arc-fauh circuit interrupters [ J ]. IEEE Transactions on Industry Applications, 2004, 40 (4) : 1 006- 1 011.
  • 6克里斯蒂·V·派伦,马克·D·拉比纳,迈克尔·派克,等.检测电弧故障的设备和方法:中国,200510103736.2[P].2006-03-05.
  • 7GREGORYGD,WONG K,DVORAK R F.More about arc-fault circuit interrupters[J].IEEE Transactions on Industry Applications,2004,40 (4):1006-1011.
  • 8SMITH L,MCCOSKRIE D.Residential electrical distribution system fires[R].U.S.Consumer Product Safety Commission,Washington,DC,Dec.1987:5-6.
  • 9Carlos E R.Arc fault detection and discrimination methods[C] // Electrical Contacts,the 53rd ieee holm conference on,2007:115-122.
  • 10Standard for safety arc-fault circuit interrupters[J].ANSI/UL 1699 Mar.2003.

共引文献36

同被引文献41

  • 1Muller Peter, Tenbohlen Stefan, Maier Reinhard, et al. Artificial low ctm'ent arc fault for pattern recognition in low voltage switchgear [C] //Electrical Contacts, 2009 Pro- ceedings of the 55th IEEE Holm Conference on, 2009.. 15-21.
  • 2LEE Weijen, SAHNI M, METHAPRAYOON K, et al. A novel approach for arcing fault detection for medium-low-voltage switchgear [J]. IEEE Transactions on Industry Applic- ations, 2009, 45 (4): 1475-1483.
  • 3UL1699, UL standard for safety for arc fault circuit interrupters [S]. 2nd Edition, 2008.
  • 4Arunachalam S, Diong B. A parametric model approach to arc fault detection for DC and AC power systems [C] // Industry Applications Conference 2006. 41st lAS Annual Meet- ing. Conference Recordofthe20061EEE, 2006, 5: 2249-2255.
  • 5Fig. 15 AR model analyzed result under silicon controlled voltage regulator load MA Shaohua, GUAN Lina. Arc fault recognition Based on BP neural networks [C] // Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on, 2011, 1: 584-586.
  • 6Kawady Tamer A, Taalab Abdel-Maksoud I, El- Geziry Mohamed. Impact of load variations on arcing fault detection in LV distribution networks[C]//10th IET International Conference on Developments in Power System Protection (DPSP), Manchester, UK, 2010: 37-42.
  • 7Elkalashy N I, Lehtonen M, Darwish H A. A novel selectivity technique for high impedance arcing fault detection in compensated MV networks[J]. European Transactions on Electrical Power, 2008, 18(4): 344-363.
  • 8Lee Weijen, Sahni M, Methaprayoon K, et al. A novel approach for arcing fault detection for medium- low-voltage switchgear[J]. IEEE Transactions on Industry Applications, 2009, 45(4): 1475-1483.
  • 9Arunachalam S,Diong B. A parametric model approach to arc fault detection for DC and AC power systems[C]//IEEE Industry Applications Conference, 2006, 5: 8-12.
  • 10Ma Shaohua, Guan Lina. Arc fault recognition based on BP neural networks[C]//3rd International Confer- ence on Measuring Technology and Mechatro- nics Automation, Shanghai, China, 2011: 584-586.

引证文献4

二级引证文献62

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部