列车仿真技术中基于属性矩阵图的故障分析决策树算法 ( Application of Decision Tree Optimization Algorithm in Train Simulation Technology )

Chao Wang

Abstract: The data mining technology is used to analyze the large data generated during train operation，the decision tree algorithm is proposed based on attribute matrix graph. Combined with the simulation date of a train，the computing attribute matrix and the structure design of the decision tree optimization algorithm are elaborated. According to fault analysis result of the decision tree algorithm，this algorithm could classify the faults accurately and provide reliable basis for the prediction of metro faults.