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Fault Attribute Reduction of Oil Immersed Transformer Based on Improved Imperialist Competitive Algorithm

Li Bian Hui He Hongna Sun Wenjing Liu

哈尔滨工业大学学报（英文版）2020，Vol.27Issue(6)：83-90,8.

哈尔滨工业大学学报（英文版）2020，Vol.27Issue(6)：83-90,8.DOI:10.11916/j.issn.1005-9113.19030

Fault Attribute Reduction of Oil Immersed Transformer Based on Improved Imperialist Competitive Algorithm

Li Bian ¹Hui He ²Hongna Sun ²Wenjing Liu³

作者信息

1. College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088,Guangdong, China
2. College of Electrical and Control Engineering, Heilongjiang University of Science andTechnology, Harbin 150022, China
3. Handan Power Supply Company, Handan 056002, Hebei,China
折叠

摘要

关键词

transformer fault/improved imperialist competitive algorithm/rough set/attribute reduction/BP neural network

Key words

transformer fault/improved imperialist competitive algorithm/rough set/attribute reduction/BP neural network

分类

信息技术与安全科学

引用本文复制引用

Li Bian,Hui He,Hongna Sun,Wenjing Liu..Fault Attribute Reduction of Oil Immersed Transformer Based on Improved Imperialist Competitive Algorithm[J].哈尔滨工业大学学报（英文版）,2020,27(6):83-90,8.

基金项目

Sponsored by the National Natural Science Foundation of China ( Grant No. 51504085 ) and the Natural Science Foundation for Returness of Heilongjiang Province of China(Grant No.LC2017026). （ Grant No. 51504085 ）

哈尔滨工业大学学报（英文版）

ISSN：1005-9113

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