Rough集理论在矿井运输机故障诊断的研究

STUDY ON FAULT DIAGNOSIS OF MINING CONVEYANCE MACHINE BASED ROUGH SET

Rough集理论是一种数据分析和处理方法,使用Rough集理论可以对决策表进行简化。该文针对矿井运输机故障诊断问题,利用Rough集属性约简和值约简方法对决策表进行约简,根据约简的结果生成规则。结果表明:使用Rough集理论可以在保留分类能力不变的前提下,简化对诊断信息的需求,而对故障样例的诊断得到的规则基本可信。

Rough set theory is a method for analyzing and dealing data. By using rough set theory, decision table can be simplified. In this paper, for fault diagnosis of mining conveyance machine problem, we simplify the decision table using rough set theory and generate concise rule. It shows that rough set theory can cut off unimportant factor with the class capability unchanged and the rules are mostly reliable in the fault examples.