GAN and CNN for imbalanced partial discharge pattern recognition in GIS
Abstract The convolutional neural network (CNN) achieves excellent performance in pattern recognition owing to its powerful automatic feature extraction capability and outstanding classification performance. However, the actual samples obtained are unbalanced, and accurate diagnoses are difficult fo...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-06-01
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| Series: | High Voltage |
| Online Access: | https://doi.org/10.1049/hve2.12135 |