Power Transformer Failure Prediction: Classification in Imbalanced Time Series

Power Transformer Failure Prediction: Classification in Imbalanced Time Series

This paper describes a study on applying data mining techniques to power transformer failure prediction. The data set used consisted not only on DGA tests, but also in other tests done to the transformer’s insulating oil. This dataset presented several challenges, such as highly imbalanced classes (...

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Bibliographic Details
Main Authors: Eduardo e Oliveira, Vera L. Miguéis, Luís Guimarães, José Borges
Format: Article
Language:English
Published: Universidade do Porto 2017-09-01
Series:U.Porto Journal of Engineering
Subjects:
Data Mining
Failure Prediction
Time Series
Power Transformer
Online Access:https://journalengineering.fe.up.pt/article/view/87

Internet

https://journalengineering.fe.up.pt/article/view/87

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