Research on Algorithm of Fault Feature Gene Extraction Based on Time-Frequency Domain Statistics

摘要：

　　This paper presents an algorithm of fault feature gene extraction based on time-frequency domain Statistics for the technical challenge of the fault detection radial-structured power distribution networks.By using this kind of approach,a gene bank can be obtained.Then,the typical fault type,such as shortcircuit,open-circuit and single-phase grounding fault,can be detected by using this gene bank.The proposed algorithm is verified to be effective by using the on-site data.

关键词： algorithm fault detection time-frequency domain statistic

作者: Rui Li Nan-hua Yu Bin-bin Zhang Bing-kun Xu Yi-dan Su Ming Gong

作者单位: Guangzhou Maritime University,Guangzhou,China Guangzhou Super Energy Technology Co.,Ltd.

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 2390-2394

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）