基于数据挖掘思想的故障模式分析

Trouble Pattern Analyze Based on Data Mining

提出了一种新型的基于数据挖掘思想的故障模式分析。通过收集故障现象并整理形成故障信息维度表,产品技术参数、故障原因等组成的关系规则维度表;基于故障信息维度表与关系规则维度表应用Apriori算法的频繁项集方法对故障信息进行分析,通过故障匹配、生成候选集、过滤候选集,最后确定故障原因,优选排除故障方案。

A new trouble pattern analysis was put forward based on thought of data mining. The trouble information dimension table come into being by collecting and cleaning up the fault phenomenon. The association rule dimension table was made up of the technique parameters and the trouble causes. The trouble information are analyzed by frequent item set of the Apriori arithmetic based on the trouble information dimension table and the association rule dimension table. It made sure the causes of the trouble and chose the priority resolving scheme by matching the trouble and building and filtrating the candidates.