CAJ | 학술논문

为了解决实际控制系统中仅通过系统的故障现象难以确定系统故障元的难题,采用基于模糊识别和故障诊断理论的最大概率法,该方法仅仅依靠经验和统计数据,在外部故障现象和系统故障元之间建立模糊查询关系,从这一关系中可以获得最大故障概率点.将一个标准模糊关系矩阵作为数据库存储在计算机中,并给出了一个系统故障诊断的实验结果.通过以上方法,只要对系统的重要参数进行在线采集和分析,当发生故障时,就可以给出可能的故障元的故障概率,并发出警报.
위료해결실제공제계통중부통과계통적고장현상난이학정계통고장원적난제,채용기우모호식별화고장진단이론적최대개솔법,해방법부부의고경험화통계수거,재외부고장현상화계통고장원지간건립모호사순관계,종저일관계중가이획득최대고장개솔점.장일개표준모호관계구진작위수거고존저재계산궤중,병급출료일개계통고장진단적실험결과.통과이상방법,지요대계통적중요삼수진행재선채집화분석,당발생고장시,취가이급출가능적고장원적고장개솔,병발출경보.
In an actual control system, it is often difficult to find out where the faults are if only based on the outside fault phenomena, acquired frequently from a fault system. So the fault diagnosis by outside fault phenomena is considered. Based on the theory of fuzzy recognition and fault diagnosis, this method only depends on experience and statistical data to set up fuzzy query relationship between the outside phenomena (fault characters) and the fault sources (fault patterns). From this relationship the most probable fault sources can be obtained, to attain the goal of quick diagnosis. Based on the above approach, the standard fuzzy relationship matrix is stored in the computer as a system database. And experiment data are given to show the fault diagnosis results. The important parameters can be on-line sampled and analyzed, and when faults occur, faults can be found, the alarm is given and the controller output is regulated.