Hybrid Method for Power Transformers Faults Diagnosis Based on Ensemble Bagged Tree Classification and Training Subsets Using Rogers and Gouda Ratios
Author:
Publisher
The Intelligent Networks and Systems Society
Subject
General Engineering,General Computer Science
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Machine Learning Algorithms Fusion Based on DGA Data for Improving Fault Diagnosis of Electrical Power Transformer;The Scientific Bulletin of Electrical Engineering Faculty;2023-12-01
2. Improved intelligent methods for power transformer fault diagnosis based on tree ensemble learning and multiple feature vector analysis;Electrical Engineering;2023-11-03
3. Hybrid DGA Method for Power Transformer Faults Diagnosis Based on Evolutionary k-Means Clustering and Dissolved Gas Subsets Analysis;IEEE Transactions on Dielectrics and Electrical Insulation;2023-10
4. Improved intelligent methods for power transformer fault diagnosis based on tree ensemble learning and multiple feature vector analysis;2023-08-02
5. Improvement of Transformer Fault Diagnosis using Fuzzy Rule and Decision Tree Based on Dissolved Gas Analysis;2023 1st International Conference on Renewable Solutions for Ecosystems: Towards a Sustainable Energy Transition (ICRSEtoSET);2023-05-06
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