A novel power transformer fault diagnosis method based on data augmentation for KPCA and deep residual network
Because transformer plays an important role in power system, it rarely runs in fault or abnormal state. Therefore, it is difficult to obtain sufficient transformer fault samples. In this paper, aiming at the problem of less fault sample data and data imbalance, a novel data augmentation method based...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-09-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472300642X |