中国电力2025，Vol.58Issue(3)：162-167,6.DOI:10.11930/j.issn.1004-9649.202405011
基于VAE-WSVM的二次采样回路测试校核评估
Sampling Loop Test Check Evaluation of Secondary System based on VAE-WSVM Data Mining
摘要
Abstract
Analyze the hidden dangers existing in the sampling circuit of the secondary system,and in view of the defects that the existing methods are difficult to obtain large amount of data,based on the historical measurement data,the variational autoencoder is used to achieve data proliferation,and then the support vector machine model is trained on the proliferated data set,and the important parameters of the model are improved by using the grey wolf optimization algorithm,and the error range of the secondary system sampling is classified and checked.The experimental results show that the classification model trained by the proposed method has a good evaluation effect.关键词
二次系统采样回路/误差评估/小样本Key words
secondary system sampling loop/error evaluation/small sample size引用本文复制引用
尹相国,刘慧娟,张冠育,毛玉荣,龚世玉..基于VAE-WSVM的二次采样回路测试校核评估[J].中国电力,2025,58(3):162-167,6.基金项目
国家自然科学基金资助项目(52077120). This work is supported by National Natural Science Foundation of China(No.52077120). （52077120）
