摘要
本文首先给出一种弱诊断模型,利用系统的结构信息,快速得到系统的弱诊断,在不丢失解的情况下缩小诊断空间,以提高诊断效率。对仅知道系统的整体功能和物理结构系统,无法进行一致性诊断或更强的诊断,我们仍然可以对其进行弱诊断。其次,我们给出了弱诊断、一致诊断、溯因诊断间的关系。最后,根据诊断和真正故障元件集合间的关系,定义了诊断的可采纳性,并证明了弱诊断、一致诊断是可采纳的。
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.
出处
《计算机科学》
CSCD
北大核心
2007年第9期273-276,292,共5页
Computer Science
关键词
基于模型的诊断
弱诊断
可采纳性
Model-based diagnosis, Weak diagnosis, Adoptability
