【摘要】 基于分层模型诊断算法,提出一种改进的方法,对每层进行抽象时,根据分层表示和抽象条件,同时实现固定和动态两种抽象过程.该方法进一步解决了基于模型诊断计算复杂性的问题.在最终抽象层候选空间相同的前提下,减少了分层的层次数和诊断问题的个数;在一定条件下,第l(l>0)层的诊断可以不必细化到最底层,即可得到最终的诊断结果.实验结果表明,该算法在多数情况下比以往的分层模型诊断方法效率更高.更多还原

【Abstract】 An improved method for hierarchical model-based diagnosis is proposed based on the work of Chittaro and Ranon.Two abstract processes are achieved simultaneously according to hierarchical representation and abstract condition when a new abstract level is derived.One is a fixed abstract process and the other is an automatic process.The computational complexity for modelbased diagnosis is further decreased by means of the method.Additional levels are minimized and the number of a diagnosis problem is reduced on the premise of the equal candidate space of the most final abstract level.Furthermore,the final diagnosis can be derived by the refined process at level l(l>0) without detailing each abstract level until the original level in any case.Finally, experimental results show that the efficiency of our algorithm is better than other algorithms for model-based hierarchical diagnosis.更多还原