华东交通大学学报2026，Vol.43Issue(4)：55-62,8.
基于时频模态特征提取的牵引网行波故障定位方法研究
Research on Traction Network Traveling Wave Fault Location Method Based on Time-Frequency Mode Feature Extraction
摘要
Abstract
To address the challenge of identifying traveling wave components,including fault point incident waves,reflected waves,and waves reflected by auto-transformer(AT),which complicates fault location in all-parallel AT traction networks,this paper proposes a wave similarity-based fault location method using adaptive projection intrinsically transformed multivariate empirical mode decomposition(APIT-MEMD).The APIT-MEMD algorithm is applied to adaptively decompose fault signals from multi-conductor lines in both directions to extract transient high-frequency characteristics representing different components of fault traveling waves.By constructing the cross-correlation coefficient matrix of different wave mode components to identify traveling waves along different paths and calculating the corresponding maximum time delay,fault location in the traction net-work is achieved.Experimental results demonstrate that the proposed method,based on time-frequency mode feature extraction,achieves a fault location error within 102 m with an average absolute error of 49 m.Compared with the results of the multivariate empirical mode decomposition(MEMD)algorithm using different projection parameters,the proposed method effectively improves fault location accuracy.关键词
牵引网/行波/故障定位/多元经验模态分解Key words
traction network/traveling wave/fault location/multivariate empirical mode decomposition分类
交通工程引用本文复制引用
周欢,陈剑云..基于时频模态特征提取的牵引网行波故障定位方法研究[J].华东交通大学学报,2026,43(4):55-62,8.基金项目
国家自然科学基金项目(51467004) （51467004）
