基于数据挖掘的ATP设备故障分析方法

Fault Analysis Method of ATP Equipment Based on Data Mining

在ATP运维过程中,有很多监控工具每天产生纷繁复杂的告警数据,这些数据中存在大量的冗余告警信息。利用数据挖掘的方法,可以在这些冗余告警信息中找出其中的关联性,利用关联方法将多条报警数据转换成一条或者少量数据,能够降低告警种类和数目,快速定位故障点,减轻运维人员压力,使系统更快恢复正常。

During the ATP operation and maintenance process,there are many monitoring tools that generate complicated alarm data every day.There is a large number of redundant alarm information in these data.By using the data mining method,the correlation between the redundant alarm information can be found,and the association method can be used to convert multiple alarm data into one or a small amount of data,which can reduce the type and number of alarms,quickly locate the fault point.and reduce the pressure on the operation and maintenance personnel to make the system return to normal faster.