机电工程技术2024，Vol.53Issue(7)：225-230,6.DOI:10.3969/j.issn.1009-9492.2024.07.048
基于SVMD-IGSA-RBF的井下单相接地故障线路选线方法
Downhole Single-phase Ground Fault Line Routing Method Based on SVMD-IGSA-RBF
摘要
Abstract
In order to solve the problem of low accuracy of single-phase ground fault line routing in underground small-current grounding system,a novel routing method based on SVMD-IGSA-RBF neural network model is proposed.Firstly,by analyzing the transient characteristics of the faulted line,the sparrow algorithm optimized variational modal decomposition(SVMD)is utilized for data feature extraction to weaken the influence brought by invalid features.Secondly,the search coefficients,internal information sharing and communication mechanisms of the optimized algorithm are utilized to improve the traditional gravitational search algorithm(GSA)and enhance the performance of the algorithm.Then,the improved gravitational search algorithm(IGSA)is used in the solution set to optimize the hyperparameters related to the RBF model,and the SVMD-processed data are imported into the model to improve the convergence speed of the model.Finally,MATLAB simulation and algorithm model validation are carried out,and the experiment proved that the SVMD-IGSA-RBF model can accurately identify the faulted line and improve the accurate selection of faulted line.This method provides a reliable tool for fault diagnosis and repair of underground small current grounding system,which has important theoretical and practical significance.关键词
单相接地/故障特征/模态分解/引力搜索算法/径向基函数神经网络Key words
single-phase grounding/fault characterization/modal decomposition/gravity search algorithm/radial basis function neural network分类
矿业与冶金引用本文复制引用
沈少峰,牛元平..基于SVMD-IGSA-RBF的井下单相接地故障线路选线方法[J].机电工程技术,2024,53(7):225-230,6.基金项目
国家自然科学基金项目(51974151) （51974151）
辽宁省高等学校国(境)外培养项目(2019GJWZD002) （境）
辽宁省高等学校创新团队项目(LT2019007) （LT2019007）
