摘要
运用专家系统的原理和构建方法,建立了知识库模型,编写了搜索推理代码,并在此基础上基于C#和SqlServer采用油液分析技术中的光谱分析、铁谱分析和常规理化分析,建立了柴油机磨损故障诊断系统.该系统可用于诊断磨损的部位、类型和性质.以济南柴油机厂的4190柴油机为研究对象,对该系统进行了检验,实验结果表明该系统能够定位柴油机磨损故障的部位,并诊断其故障性质及原因.
Three common oil analysis techniques, namely Spectrometric analysis, Ferrography analysis, and oil chemical- physics analysis, and in this paper, the expert system theory and method for building it have been introduced together; on base of establishing the knowledge model and writing the search reasoning code, a wear fault diagnosis system by using of C# and SqlServer used to diagnose the wear failure reason and nature has been completed. With experts＇ knowledge in the field of oil monitoring, established the rule knowl- edge and its weights; use the Jinan Diesel Engine Factory 4190 diesel as the object of study, verified this sys- tem can locate the mechanical failure parts and the reason, nature of the Diesel engine wear failure.
出处
《集美大学学报（自然科学版）》
CAS
2012年第3期212-216,共5页
Journal of Jimei University：Natural Science
关键词
柴油机
油液监测
故障诊断
oil Monitoring
expert system
c#
sqlServer
rulebased knowledge
weight selection
diesel engine wear fault diagnosis system
