Abstract
Combinatorial testing is a prevailing approach to finding out faults in the extremely complex systems of train operation for railway. While combinatorial testing is applied to Chinese Train Control Systems (CTCS) for revealing faults, some potential faults tend to be arduous to trigger due to the interaction of multiple test cases. For the sake of accurate and efficient fault localization of CTCS under the circumstances of masking effects, a novel method of locating the faults of CTCS using the relationship matrix with frequent terms has been proposed in the paper. To begin with, failed test cases from CTCS were made full use of to calculate the frequentness of failure‐inducing elements for ordered tables. Then, the relationship matrix with frequent terms for CTCS was established to work out the suspiciousness of failure‐inducing combinations by the following relation of failure‐inducing elements in the above tables. Furthermore, an iterative approach to locating failure‐inducing combinations was adopted to obtain the full list of rankings of failure‐inducing combinations, among which top combinations, especially MFS (Minimal Failure‐causing Schema), were prone to discover the faults of CTCS. Finally, the effectiveness and accuracy of the proposed method for CTCS was confirmed on the simulation platform of CTCS for Beijing‐Shenyang High‐speed Rail. Empirical studies suggest that compared to the method of fault forest, the average suspiciousness in the proposed method is 12.17% higher than that and the number of additional test cases are reduced by 31.7% on average, which can produce more precise and efficient results of identifying the faults of CTCS in case of masking effects. The research achievements can provide some references for the safety evaluation and system optimization of CTCS for high‐speed rail. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
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