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本文介绍了基于知识的减摇纪故障诊断专家系统（FaultDiagnsisExpertSystemoftheFinStablizer略为FDESFS）。FDESFS采用框架和启发式知识表示法相结合的方法构成知识库体系，在推理中采用综合故障指数法缩小初始解空间，而各级子系统中正向推理与反向推理相结合，融入询问式推理，使推理机制更接近专家思维，并为知识库维护提供多种手段。
In this paper, fault-based knowledge-based fault diagnosis expert system (FaultDiagnsisExpertSystemoftheFinStablizer slightly FDESFS). FDESFS uses a combination of framework and heuristic knowledge representation to form a knowledge base system. In the reasoning, an integrated fault index method is used to reduce the initial solution space. In the sub-systems at all levels, the forward reasoning and reverse reasoning are integrated into the inference reasoning, Make reasoning mechanism closer to expert thinking and provide multiple means for knowledge base maintenance.