A novel insulator defect detection scheme based on Deep Convolutional Auto‐Encoder for small negative samples
Abstract This paper presents a novel insulator defect detection scheme based on Deep Convolutional Auto‐Encoder (DCAE) for small negative samples. The proposed DCAE scheme combines the advantages of supervised learning and unsupervised learning. In order to reduce the high cost of training Deep Neur...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-10-01
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| Series: | High Voltage |
| Online Access: | https://doi.org/10.1049/hve2.12210 |