Low Sampling Rate Technology for UHF Partial Discharge Signals Based on Sparse Vector Recovery

摘要：

　　The detection of the partial discharge(PD)is one of the important way to monitoring the state of the power equipment in substation.The detection and localization of PD signal especially for air-insulated power equipment based on ultra-high frequency(UHF)method need a high sampling rate signal acquisition system which can lead to high hardware cost.Therefore,in this paper we propose a low sampling rate algorithm based on sparse vector recovery.The experiment in laboratory indicates that by our proposed algorithm the PD signal can be well recovered with the use of only 10%of the original signal data,which can significantly reduce the sampling rate for the PD detection and localization.

作者: Qiang GAO Qi LIU Zhannan GUO Yuhao GAO Zhen LI

作者单位: Electric Power Research Institute of State Grid Liaoning Power Supply Co.Ltd.,Shenyang,China Shenyang Kekai Electric Power Technology Co.Ltd.,Shenyang,China Hubei University of Technology,Wuhan,China State Energy Smart Grid R&D Center(Shanghai),Shanghai,China

会议类型: 国际会议

会议名称: The 2017 2nd International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2017) (2017年第二届应用物理、光电子学和光子学国际研讨会)

会议地点: 上海

会议语种:英文

页码: 444-450

在线出版日期: 2017-12-30（万方平台首次上网日期，不代表论文的发表时间）