【作者】 欧阳丹彤； 才殿波； 李占山；

【Author】 Ou yang Dantong~(1,2) Cai Dianbo~1 Li Zhanshan~(1,2) ~1(Shcool of Computer Science and Technology, Jilin University,Changchun 130012,China)~2(Key Laboratory of Symbolic Computation and Knowledge Engineering of MOE, Jilin Univ.,Changchun 130012,China)

【机构】 吉林大学计算机科学与技术学院；

【摘要】 基于模型的诊断是一项新型的智能推理技术,它可克服传统诊断方法的缺点。分层诊断是减少基于模型诊断计算复杂性的重要方法。以往的分层诊断方法局限于使用单一、固定的分层描述,而同一个分层描述有时能提高诊断的效率,但有时会与非分层诊断效率相同。这里通过使用相应结构抽象树重新安排各层给定的分层描述来创建一个新的分层描述,提出一项新的动态分层诊断技术来提高诊断效率。更多还原

【Abstract】 Model-based diagnosis is a new intelligent diagnosis technique which can overcome the shortcomings of traditional diagnostic methods. Hierarchical diagnosis is an important method for reducing the complexity of model-Based diagnosis. One limit to the previous hierarchical diagnosis methods is the fact that often a single, fixed hierarchical representation is employed. The same hierarchical representation can improve the performance of diagnosis in some cases, but also lead to a performance which is identical to non-hierarchical diagnosis in other cases. By exploiting structural abstract tree to rearrange the original hierarchical representation, a new hierarchical representation is built. A technique of model-based dynamic hierarchical diagnosis is given to improve the performance of diagnosis.更多还原