New correlation features for dissolved gas analysis based transformer fault diagnosis based on the maximal information coefficient
Abstract Online monitoring of gases dissolved in transformer oil is widely applied. Improving the performance of dissolved gas analysis (DGA)‐based fault diagnosis methods by exploring new features of time‐series data has become an appealing topic. In this study, a new type of correlation features b...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-04-01
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| Series: | High Voltage |
| Online Access: | https://doi.org/10.1049/hve2.12136 |