CAJ | 학술논문

为了实现根据检测数据判别故障状态和计算各执行单元对相应故障状态的隶属度，结合自动故障诊断系统的特点，在传统故障树基础上提出了检测数据主导故障树模型。定义了检测状态主导故障树，建立了故障树拓扑结构，根据C800型摩擦焊机润滑系统特点建立该系统的故障诊断算法。实验结果表明：在0～16 M Pa压力范围内，该算法能够根据压力参数有效识别系统故障状态，并计算出各底事件对相应故障状态的隶属度。
위료실현근거검측수거판별고장상태화계산각집행단원대상응고장상태적대속도，결합자동고장진단계통적특점，재전통고장수기출상제출료검측수거주도고장수모형。정의료검측상태주도고장수，건립료고장수탁복결구，근거C800형마찰한궤윤활계통특점건립해계통적고장진단산법。실험결과표명：재0～16 M Pa압력범위내，해산법능구근거압력삼수유효식별계통고장상태，병계산출각저사건대상응고장상태적대속도。
For the purpose of judging fault status according to measured parameters ,and calculating membership degree of bottom events for corresponding intermediate event ,a state led fault tree model is proposed on the basis of traditional fault tree and the characteristics of auto fault diagnose system .The state led fault tree is defined ,the topological structure of the fault tree is structured ,and the fault diagnose algorithm is proposed according to the characteristics of C800 lubrication system .Simulation experiments are performed at pressure range 0 ~ 16 M Pa .Experimental results show that the new algorithm can identify system fault status based on the pressure parameters ,and can calculate membership degree of bottom events for corresponding fault status .