【摘要】 基于事例的推理（ Ｃ Ｂ Ｒ）近年来在人工智能领域受到了广泛重视， Ｃ Ｂ Ｒ 可用于解决复杂系统的故障诊断问题。本文针对 Ｃ Ｂ Ｒ 技术在故障诊断中的应用，从人的诊断思维出发，研究了故障事例的表达模型，探讨了以故障的因果模型为知识导引进行事例组织与故障推理的方法，并以柴油机故障诊断为例，指出这种方法可有效地提高故障推理与事例检索的效率。更多还原

【Abstract】 Case based reasoning (CBR) has attracted much research interest in Artificial Intelligence (AI), and it can be applied to solve complex diagnostic problems. This paper aims at the application of CBR in fault diagnosis. Starting from the diagnostic thoughts of human diagnostician, the paper proposed a representation model for fault cases, and studied a method for case organization and fanlt reasoning, which use the casual model as knowledge guides. An example of diesel diagnosis showed that this method could effectively increase the efficiency of case retrieval and fault diagnosis.更多还原