Enhancing power transformer health assessment through dimensional reduction and ensemble approaches in Dissolved Gas Analysis
Abstract Transformer health analysis using Dissolved Gas Analysis is crucial for diagnosing power transformer faults. This paper proposes an innovative approach to diagnose power transformer faults by integrating machine learning algorithms with Ensemble techniques. The method involves fusing reduce...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | IET Nanodielectrics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/nde2.12092 |