南京航空航天大学民航学院,江苏,南京,210016
Published:2004
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CHEN Guo, ZUO Hong-fu. Expert Systems of Engine Wear Fault Diagnosis Based on Knowledge Rule[J]. 2004, 19(1).
DOI:
CHEN Guo, ZUO Hong-fu. Expert Systems of Engine Wear Fault Diagnosis Based on Knowledge Rule[J]. 2004, 19(1). DOI:
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。
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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