|本期目录/Table of Contents|

[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(自然科学版),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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《集美大学学报（自然科学版）》[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 Monitoring; expert system; C#; sqlServer; rule-based knowledge; weight Selection;  diesel engine wear fault diagnosis system
分类号:
-
DOI:
-
文献标志码:
-
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

参考文献/References:

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备注/Memo

备注/Memo:
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更新日期/Last Update: 2014-06-28