Rail-to-ground Insulation Defect Diagnosis Method Based on Spatiotemporal Correlation of Rail Potential

Abstract

Objective The data of various monitoring points regarding rail potential as monitoring object is correlated in time and space, and the direct manifestation of changes in rail-to-rebar structural resistance is reflected in rail potential variation. It is aimed to explore a method for monitoring the rail-to-ground insulation state and diagnosing defects based on rail potential spatiotemporal correlation. Method The stray current monitoring system with rail potential as the monitoring object is elaborated. The characteristics of rail potential data under insulation defects are analyzed and a feature matrix for the data is established. Based on the anomaly detection principle of Minkowski distance, the detection steps for abnormal sections of rail-to-ground insulation and for insulation defect locationing are explained. A project in Qingdao Rail Transit is taken as study case for modeling and simulation to evaluate the effectiveness and accuracy of the proposed method. Result & Conclusion The proposed method can effectively monitor the rail insulation state and accurately locate insulation defects.

Keywords

• urban rail transit
• power supply
• stray current
• rail potential
• rail insulation monitoring
• insulation defect diagnosis