[1]王宁,陈景锋.基于油液监测的柴油机磨损故障诊断系统[J].集美大学学报(自然版),2012,17(3):212-216.
 WANG NingCHEN Jing-feng.Diesel Engine Wear Fault Diagnosis System Based on the Oil Monitoring Technology[J].Journal of Jimei University,2012,17(3):212-216.
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基于油液监测的柴油机磨损故障诊断系统()
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《集美大学学报(自然版)》[ISSN:1007-7405/CN:35-1186/N]

卷:
第17卷
期数:
2012年第3期
页码:
212-216
栏目:
船舶与机械工程
出版日期:
2012-05-25

文章信息/Info

Title:
Diesel Engine Wear Fault Diagnosis System Based on the Oil Monitoring Technology
作者:
王宁1陈景锋2
(集美大学轮机工程学院,福建 厦门 361021)
Author(s):
WANG NingCHEN Jing-feng
(Marine Engineering Institute,Jimei University,Xiamen 361021,China)
关键词:
柴油机油液监测故障诊断
Keywords:
oil Monitoringexpert systemC#sqlServerrule-based knowledgeweight Selection diesel engine wear fault diagnosis system
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,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
Abstract:
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 which used to diagnose the wear failure reason and nature has been completed. With experts knowledge in the field of Oil Monitoring,established the rule knowledge and its weights;Use the Jinan Diesel Engine Factory 4190 diesel as the object of study,verified this system can locate the mechanical failure parts and the reason,nature of the Diesel engine wear failure

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更新日期/Last Update: 2014-06-28