Weak Diagnosis Model Based on System Structure
基于结构的弱诊断模型

This paper presents a weak diagnosis model based on system structure. Using structure information, an effective method for finding weak diagnosis is brought out. Not losing any possible diagnosis, the diagnosis space is reduced. Some systems which limited knowledge is known can not be got the consistency-based diagnosis. But we also can get their weak diagnosis. Furthermore, the relation between weak diagnosis, consistency-based diagnosis and cau sality diagnosis is discussed. At last, this paper defines the adoptability of diagnosis and proves that weak diagnosis and consistency based diagnosis are adoptable.