Transformer Condition Assessment Using Fuzzy C-means Clustering Techniques

被引：12
作者：
Eke, Samuel [1 ]
Clerc, Guy [1 ]
Aka-Ngnui, Thomas [1 ]
Fofana, I. [2 ]
机构：
[1] Univ Claude Bernard Lyon 1, Univ Lyon Ampere, INSA Lyon, Ecole Cent Lyon,CNRS UMR 5005, Villeurbanne, France
[2] Univ Quebec Chicoutimi, Aging Power Network Infrastruct ViAHT, Chicoutimi, PQ, Canada
来源：
IEEE ELECTRICAL INSULATION MAGAZINE | 2019年 / 35卷 / 02期
关键词：
clustering; data analysis; diagnostic; fuzzy C-means; insulating oil; maintenance; principal component analysis; transformers; ALGORITHMS; FCM;
D O I：
10.1109/mei.2019.8636165
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper introduces a transformer fleet monitoring solution to help the end user to group transformer assets and react accordingly to monitored situations.
引用
收藏
页码：47 / 55
页数：9
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