粗糙集理论在装备故障诊断中的应用

Application analysis of the equipment fault diagnosis based on rough set theory

针对目前部队的装备故障诊断能力较弱的现状,通过几种故障诊断方法的比较,选取出粗糙集作为装备故障诊断方法,从而对已得到的装备状态的测试数据进行分析,利用粗糙集的约简算法消除冗余信息,利用决策表的形式从不完备的、不精确的测试数据中导出诊断规则,并应用于某型电台装备中进行故障诊断。结果表明,诊断结果快速准确,为今后进一步研究粗糙集算法在故障诊断中应用提供了依据。

Nowadays,the ability of the equipment fault diagnosis is very weak,so some kinds of fault diagnosis methods are compared and chosen rough set theory to be the suitable method for equipment fault diagnosis. Then the tested data of equipment status can be analyzed and be reduced the redundant information by the reduction algorithm of rough set theory, and the diagnosis rules can be got from the incorrect and incomplete testing data in decision table form. Then, the rough set theory is applied to some.