Hierarchical diagnosis is an important method for reducing the complexity of model-Based diagnosis.
分层诊断是减少基于模型诊断计算复杂性的重要方法。
This paper analyzes characteristics of candidate diagnosis items, proposes the dynamic test strategy for model-based diagnosis.
本文通过分析基于模型诊断的候选诊断集的特点，提出了基于模型的动态测试策略。
This paper introduces the basic concepts of a branch of AI field--the model-based diagnosis and the consistency-based diagnosis, and sums up the advantages and shortages of the model-based diagnosis.
介绍了人工智能领域的一个分支——基于模型的诊断以及基于一致性诊断的基本概念，总结了基于模型诊断的优点和有待改进的地方。
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