Power transformer fault diagnosis considering data imbalance and data set fusion
Abstract Improving the accuracy of transformer dissolved gas analysis is always an important demand for power companies. However, the requirement for large numbers of fault samples becomes an obstacle to this demand. This article creatively uses a large number of health data, which is much easier to...
Main Authors: | Yang Zhang, Hong Cai Chen, Yaping Du, Min Chen, Jie Liang, Jianhong Li, Xiqing Fan, Xin Yao |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-06-01
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Series: | High Voltage |
Subjects: | |
Online Access: | https://doi.org/10.1049/hve2.12059 |
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