首页|基于灰狼算法的变压器特征选取方法研究

基于灰狼算法的变压器特征选取方法研究

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本研究介绍一种灰狼算法在特征参量空间选取特征参量子集的方法,简化模型训练复杂度,并在Matlab中进行算法验证.结果表明:该算法能够将35个特征参量减小到5个,且模型准确率大于85%.
Research on Transformer Feature Selection Method Based on Grey Wolf Optimization Algorithm
A method of selecting a subset of characteristic parameters in the characteristic parameter space by using gray Wolf algorithm was introduced and then verified in Matlab.The simulation results show that the algorithm can reduce the 35 feature parameters to 5,and the accuracy is greater than 85%.

transformerfault diagnosisgray Wolf algorithm

陈烜

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国网四川电力服务有限公司,四川成都 610021

变压器 故障诊断 灰狼算法

2024

电工材料
桂林电器科学研究院

电工材料

影响因子:0.378
ISSN:1671-8887
年,卷(期):2024.(4)