基于知识规则的发动机磨损故障诊断专家系统
Expert Systems of Engine Wear Fault Diagnosis Based on Knowledge Rule
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摘要: 针对某型发动机试车状态的磨损故障诊断问题,运用了两种最常用的滑油分析技术——铁谱分析和光谱分析,同时结合发动机试车台监测数据,对该型发动机试车过程中的磨损故障进行专家诊断。首先依据领域专家的经验,通过分析得到了各种分析方法的诊断专家知识,并将其转换为基于if-then的知识规则存放于知识库中;其次,依据各种分析方法的标准磨损界限值,将原始数据进行了预处理,统一转换成故障征兆的字符表达式;最后,根据应用正向推理机得到磨损故障的诊断结果。Abstract: The paper is aimed at engine wear fault diagnosis of certain military aircraft during ground testing.Two common oil analysis methods,namely Ferrography analysis and Spectrometric analysis,as well as engine testing monitoring method,are applied to diagnosing the military engine wear faults using Expert System (ES) method.Firstly,according to expert diagnosis experience,the knowledge rules based on IF-THEN format of each method are obtained.Secondly,by wear criterion values of each method,the original symptoms are transformed into character expressions.Finally,the diagnosis results are achieved through forward chaining method.
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Key words:
- aerospace propulsion system /
- engine /
- wear /
- fault diagnosis /
- Expert System (ES)
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