A fault diagnosis of high voltage circuit breakers with small samples using a PCA-cascade forest algorithm

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Publication Details

Journal
Energy Reports
Published
2025-05-27
DOI
https://doi.org/10.1016/j.egyr.2025.05.046
Citations
5
Primary Topic
Power System Reliability and Maintenance
Type
article
Field-Weighted Citation Impact
6.52

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article

A fault diagnosis of high voltage circuit breakers with small samples using a PCA-cascade forest algorithm

Gao Hai-ming, Yakui Liu, Yan Xia, Haoqing Wang et al.
5 citations
Energy Reports
Power System Reliability and Maintenance
6.52
article

A fault diagnosis of high voltage circuit breakers with small samples using a PCA-cascade forest algorithm

Gao Hai-ming, Yakui Liu, Yan Xia, Haoqing Wang, Hongyun Li, Fengchao Wang, Kunquan Chen
article en
5 citations

Abstract

No abstract available for this paper.
Energy ReportsVol. 13
North China Electric Power University (CN), Shandong University (CN), Liaocheng University (CN), China Electric Power Research Institute, Qingdao University of Technology (CN)
Natural Science Foundation of Shandong Province, State Key Laboratory of Electrical Insulation and Power Equipment
Life in Land
Openalex Percentile: Top 4%
Power System Reliability and Maintenance
6.52
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