报告详情
A Novel Detection Method of Rail Insulation Defects based on FFC-Swin-Transformer
编号：134
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更新：2025-10-13 11:33:10 浏览：28次
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报告开始：暂无开始时间（Asia/Shanghai）
报告时间：暂无持续时间
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摘要
As urban rail transit grows, stray current seriously threatens the safety of power systems and oil/gas pipelines. Rail-to-earth insulation the key to control stray current. Aiming at the problem that it is difficult to detect and locate the rail insulation defects of DC traction power supply system, a novel rail insulation defect detection method based on the FFC-Swin-Transformer is proposed. By establishing a four-layer "catenary-rail-SCCN-earth" equivalent circuit model and integrating multi-train operation conditions, a rail potential dataset is efficiently generated via parallel computing. Time-domain signals of rail potential are converted to frequency-domain features using Fourier transform, and the fused time-frequency information is fed into an improved FFC-Swin-Transformer network to achieve accurate detection of rail insulation states. Experimental results show that after training on 22496 sample groups, the model achieves a test accuracy of 82.95%, effectively identifying section insulation defects and exhibiting promising engineering application potential.
关键词
DC metro system,stary current,defect detection,rail potential,rail insulation
报告人
Feilong Liu
student Southwest Jiaotong University稿件作者
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重要日期
-
会议日期
11月07日
2025
至11月09日
2025
-
10月29日 2025
初稿截稿日期
-
11月10日 2025
注册截止日期
主办单位
IEEE西南交通大学IAS学生分会
承办单位
西南交通大学电气工程学院
SPACI车网关系研究室
四川大学电力系统稳定与高压直流输电研究团队
SPACI车网关系研究室
四川大学电力系统稳定与高压直流输电研究团队
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