- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | WANG Aimin, ZHOU Wenjie, YANG Xin. Metro Stray Current Leakage Zone Localization Method Considering Rail Resistance Uncertainty[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20260086
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Existing metro stray-current leakage location methods often treat longitudinal rail resistance as deterministic and ignore its uncertainty caused by material aging, joint resistance, and environmental factors, which reduces location accuracy and generalization performance. Based on measured longitudinal rail resistance data from a metro system, a method that accounts for the probabilistic characteristics of longitudinal rail resistance was proposed for locating stray-current leakage. Kernel density estimation was used to establish the probability distribution model of longitudinal rail resistance. Monte Carlo methods were then used to simulate uncertainty in longitudinal rail resistance, and a rail-earth resistance network model was constructed. Building on this model, a method was proposed to calculate the distribution of rail-to-earth transition resistance or conductance using a hybrid genetic algorithm-particle swarm optimization algorithm, and a stepwise strategy was developed for locating stray-current leakage. The strategy first identified the inter-station section containing the leakage position through coarse localization and estimated the distribution of longitudinal rail resistance by selecting the solutions with the best fitness values. The leakage zone within the identified section was then determined through stepwise subdivision. During the location process, the leakage position was identified by calculating the probability that rail-to-earth transition conductance along the line exceeds a threshold. Comparisons of the location results with simulated leakage zones show that the proposed method can accurately identify the inter-station section containing the leakage zone when longitudinal rail resistance is nonuniformly distributed and leakage severity and range vary. The location deviation is less than 30%, and the average relative error in estimating longitudinal rail resistance is less than 5% in the presence of measurement noise, indicating strong robustness and practical engineering applicability.
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