期刊文献+

傅里叶变换用于地下电缆故障检测(英文) 被引量:9

Use of Fourier Transformation for Detection of Faults in Underground Power Cables
下载PDF
导出
摘要 An analysis of underground power cables is performed using Fourier analysis with the objective of detecting fault and average life of the cables.Three types of cables are used in this experiment:a normal cable,a shorted cable, and a cable with holes.The impedance in each case is computed and Fourier transformation is applied so that the resulting impedance magnitude and impedance phase can be examined in the frequency domain.Various windowing techniques are applied to the experimental data to eliminate any interference.Fourier analysis is then applied to the impedance data calculated from both the sending end voltage and differential voltage.This analysis reveals differences in the frequency response of the three different types of a cable and can eventually be used as a measure for fault detection. Preliminary results reveal the differences in the frequency response.Accordingly,Fourier type methods can be effectively used as low cost and viable solutions to identify and detect faults in underground cables. An analysis of underground power cables is performed using Fourier analysis with the objective of detecting fault and average life of the cables. Three types of cables are used in this experiment: a normal cable, a shorted cable, and a cable with holes. The impedance in each case is computed and Fourier transformation is applied so that the re- suiting impedance magnitude and impedance phase can be examined in the frequency domain. Various windowing tech- niques are applied to the experimental data to eliminate any interference. Fourier analysis is then applied to the imped- ance data calculated from both the sending end voltage and differential voltage. This analysis reveals differences in the frequency response of the three different types of a cable and can eventually be used as a measure for fault detection. Preliminary results reveal the differences in the frequency response. Accordingly, Fourier type methods can be effectively used as low cost and viable solutions to identify and detect faults in underground cables.
出处 《高电压技术》 EI CAS CSCD 北大核心 2011年第11期2686-2692,共7页 High Voltage Engineering
关键词 Fourier analysis fault detection and identification underground power cable Fourier analysis fault detection and identification underground power cable
  • 相关文献

参考文献11

  • 1Bialek T O. Evaluation and modeling of high voltage cable insulation using a high voltage impulse [D]. Mississippi State, USA: Mississippi State University, 2005.
  • 2Lee Jae-Duck, Ryoo Hee-Suk, Choi Sang-Bong, et al. Signal processing technology for fault location system in underground power cable[C]//IEEE PES Transmission and Distribution Conference and Exhibition. Dallas, USA: IEEE, 2005/2006: 839-842.
  • 3Gilany M, Ibrabim D K, Eldin E T. Travelling wave-based fault location scheme for multiend-aged underground cable system[J]. IEEE Transactions on Power Delivery, 2007, 22(1): 82- 89.
  • 4Stagi W R. Cable injection technology[C]// Transmission Distribution Conference and Exposition 2007. Caracas, Venezuela: IEEE, 2006: 1-4.
  • 5Pandey A, Younan N H. Underground cable fault detection and identification via Fourier analysis[C]// International Conference on High Voltage Engineering and Application. Starkville, USA: IEEE, 2010:618-621.
  • 6Moshtagh J, Aggrawal R K. A new approach to fault location in single core underground cable system using combined fuzzy logic and wavelet analysis[C]// 8th IEE International Conference on Developments in Power System Protection. Stevenage, USA:IEEE, 2004:228-231.
  • 7Jung C K, Lee J B, Wang X H, et al. A study on fault location algorithm on underground power cable system[C]// Proceedings of IEEE Power Engineering Society General Meeting. Ihksan, South Korea: IEEE, 2005:2165-2171.
  • 8Mousavi M J, Butler Purry K L, Gutierrez Osuna R, et al. Classification of load change transient and incipient abnormalities in underground cable using pattern analysis techniques[C]// 2003 Transmission and Distribution Conference and Exposition. Texas, USA: IEEE, 2003:175-180.
  • 9Oppenheim A V, Schafer R W, Buck J A. Discrete time signal processing[M]. Upper Saddle River, N. J., USA: Prentice Hall, 1999: 468-471.
  • 10Theulβ T, Hauser H, GrOller E. Mastering windowing: im proving reconstruction[C]// 2000 IEEE Symposium on Vol ume Visualization. Salt Lake City, USA: IEEE, 2000:101-108.

同被引文献108

引证文献9

二级引证文献82

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