CAJ | 학술논문

在传统的故障诊断专家系统的基础上,引入粗糙集理论以解决专家系统较难获取完备知识系统的瓶颈问题。该系统从历史故障数据所形成的决策表出发,通过粗糙集数据挖掘算法获取故障诊断的最小约简属性集和潜在的诊断规则,并建立诊断规则知识库。通过计算规则隶属粗糙度来表示诊断规则的置信程度。本文中以YYBC-2型航空液压油泵车液压系统中的故障诊断分析为例进行了验证。
재전통적고장진단전가계통적기출상,인입조조집이론이해결전가계통교난획취완비지식계통적병경문제。해계통종역사고장수거소형성적결책표출발,통과조조집수거알굴산법획취고장진단적최소약간속성집화잠재적진단규칙,병건립진단규칙지식고。통과계산규칙대속조조도래표시진단규칙적치신정도。본문중이YYBC-2형항공액압유빙차액압계통중적고장진단분석위례진행료험증。
Based on the analysis of the traditional expert system for fault diagnosis,a new expert system based on the rough set is introduced in order to resolve the bottleneck problem of obtaining complete knowledge of expert system.From the decision table defined by history fault data,we introduced rough sets data method to take the smallest reduction attribute collection and potential diagnosis rule from the fault diagnosis decision-making table.The belief degree of diagnosis rules is determined by calculating the rough subjection degree of reasoning rule.As an example,the fault diagnosis of the YYBC-2 oil pump truck is tested.