Improved Fuzzy C-Means Clustering for Transformer Fault Diagnosis Using Dissolved Gas Analysis Data

Improved Fuzzy C-Means Clustering for Transformer Fault Diagnosis Using Dissolved Gas Analysis Data

Dissolved gas analysis (DGA) of the oil allows transformer fault diagnosis and status monitoring. Fuzzy c-means (FCM) clustering is an effective pattern recognition method, but exhibits poor clustering accuracy for dissolved gas data and usually fails to subsequently correctly classify transformer f...

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Bibliographic Details
Main Authors: Enwen Li, Linong Wang, Bin Song, Siliang Jian
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Energies
Subjects:
fuzzy c-means clustering
dissolved gas analysis
membership function
degree of membership
similarity measurement
transformer fault
Online Access:http://www.mdpi.com/1996-1073/11/9/2344

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http://www.mdpi.com/1996-1073/11/9/2344

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