基于关联规则的铁路信号设备故障诊断技术研究

Study of Railway Signaling Device Fault Diagnosis Technology Based on Association Rules

如何对大量的铁路信号设备信息数据进行分析,及时发现故障并对故障进行快速、准确的诊断、处理,是列车安全高效运行的重要前提。提出将Apriori算法应用于铁路信号设备故障的诊断。通过示例演示铁路信号设备信息数据库预处理,采用Apriori算法对数据进行挖掘,再剪枝,计算不同数据项集之间的支持度和置信度,得到关联规则,采用提升度对故障诊断的有效性进行评估。

How to analyze massive railway signal device message data, timely detect a fault,quickly and accurately diagnose and handle the fault,is a key prerequisite for safety and high-efficiency train operation. The articles proposes to apply the Apriori algorithm to diagnose a railway signaling device fault. By demonstrating the pretreatment of railway signaling device message database,the article uses the Apriori algorithm to mine the data and then conduct pruning. It calculates the degree of support and confidence between different data sets and obtain the association rules,evaluate the effectiveness of fault diagnosis by means of lift.