Abstract

Safety is the top priority of railway transportation, strengthening the safety management of railway rolling stocks is of great significance to ensure the normal order of railway transportation. In order to improve the rolling stock safety and standardization management, the rolling stock safety assessment system was built on the basis of the original rolling stock monitoring system. The EMU safety assessment model was established by taking this field as an example. The multiple linear regression and support vector regression algorithms were used for comparison and simulation. The experiment shows that the multiple linear regression model is more suitable for the safety situation assessment of the EMU. The equipment safety evaluation model is efficient and reasonable, and it has high operability. The evaluation results are in line with the actual situation of the railway administration business department.

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