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 (...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade do Porto
2017-09-01
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| Series: | U.Porto Journal of Engineering |
| Subjects: | |
| Online Access: | https://journalengineering.fe.up.pt/article/view/87 |