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改进VMD和ConViT的小电流接地系统单相故障选线方法

邵文权 王昱博 杨鹏 关欣

西安工程大学学报2026,Vol.40Issue(2):27-36,54,11.
西安工程大学学报2026,Vol.40Issue(2):27-36,54,11.DOI:10.13338/j.issn.1674-649x.2026.02.004

改进VMD和ConViT的小电流接地系统单相故障选线方法

Single-phase fault line selection method for small current grounding system based on improved VMD and ConViT

邵文权 1王昱博 1杨鹏 1关欣1

作者信息

  • 1. 西安工程大学 电子信息学院,陕西 西安 710048
  • 折叠

摘要

Abstract

Addressing the issue of reduced reliability in single-phase grounding fault line selection in small current grounding system in strong noise interference,an intelligent line selection method based on improved combination of variational mode decomposition(VMD)and ConViT was proposed.Firstly,the polar light optimizer algorithm was used to adaptively optimize the key pa-rameters of VMD(decomposition layer K and penalty factorα),and then the noisy modal compo-nents were screened and reconstructed for effective noise suppression according to sample entro-py.Then,the one-dimensional zero-sequence current signal was converted into two-dimensional image through the Gramian augular field(GASF)to preserve the temporal correlation of the sig-nal and enhance the feature expression ability.On this basis,a ConViT line selection model was constructed,which achieves accurate identification of the faulty line by integrating convolutional local feature extraction with Transformer global dependency modeling.The simulation and field test results show that the proposed method exhibits good anti-interference and robustness under strong noise conditions,with fast iterative convergence speed and a line selection accuracy rate ex-ceeding 95%.Its performance significantly surpassed traditional CNN and Vision Transformer models,making it suitable for fault line selection requirements in actual complex noise scenarios.

关键词

故障选线/变分模态分解/极光优化/格拉姆角场/ConViT

Key words

fault line selection/variational mode decomposition/polar light optimizer/Gramian augular field/ConViT

分类

信息技术与安全科学

引用本文复制引用

邵文权,王昱博,杨鹏,关欣..改进VMD和ConViT的小电流接地系统单相故障选线方法[J].西安工程大学学报,2026,40(2):27-36,54,11.

基金项目

国家自然科学基金(52407137) (52407137)

西安工程大学学报

1674-649X

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