标题:Technology for transformer fault diagnosis with detection and monitoring data fusion
作者:Niu, Lin; Wang, Guiming; Zhan, Jie; Cui, Jintao; Huang, Jinxin; Sun, Wanjun
作者机构:[Niu, Lin; Wang, Guiming; Zhan, Jie; Cui, Jintao; Huang, Jinxin] State Grid China Technol Coll, Jinan, Shandong, Peoples R China.; [Sun, Wanjun] Sha 更多
会议名称:3rd International Conference on Energy, Environment and Sustainable Development (EESD 2013)
会议日期:NOV 12-13, 2013
来源:ENERGY DEVELOPMENT, PTS 1-4
出版年:2014
卷:860-863
页码:2046-2049
DOI:10.4028/www.scientific.net/AMR.860-863.2046
关键词:Multi-source data; distance correlation; fault diagnosis
摘要:Fault diagnosis is an effective means to assure the safe operation of power system. In this paper, a detection and monitoring of transformer fault diagnosis of multi-source data fusion technology is introduced. Based on the correlation distance, to calculate the relationship between detection and monitoring data and equipment failure, using the weight function to set fault indicators, status online monitoring data over the fault indicators, judging the equipment what kind of failure is happened, improving the precision of fault diagnosis.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891541666&doi=10.4028%2fwww.scientific.net%2fAMR.860-863.2046&partnerID=40&md5=6cfdfabd4999e8c04d47f00684d9b45e
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