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

页码：47 / 55

页数：9