基于粗糙集和DS证据理论的船舶柴油机故障诊断研究  

Research on Fault Diagnosis of Marine Diesel Engine Based on Rough Set and DS Evidence Theory

作　　者：贾志涛 赵祥 吴泽启 郑杰 JIA Zhitao;ZHAO Xiang;WU Zeqi;ZHENG Jie(Tangshan Polytechnic College,Tangshan 063299,China;State Grid Baishan Power Supply Company,Baishan 134300,China)

机构地区：[1]唐山工业职业技术学院,河北唐山063299 [2]国网白山供电公司,吉林白山134300

出　　处：《工业技术与职业教育》2025年第1期1-10,共10页Industrial Technology and Vocational Education

基　　金：唐山工业职业技术学院科研规划项目“基于信息融合的船舶动力系统状态评估方法研究”(课题编号:YJKT202308),主持人贾志涛。

摘　　要：为解决船舶柴油机故障无法提前预判处理的问题,提出了基于粗糙集和DS证据理论的方法。粗糙集对海量数据进行处理,属性约简提取重要特征参数,得到简化的信息系统。DS证据理论从信息系统中得到基于证据信任度的基本可信度分配,利用证据合成规则有效融合证据信息,为船舶柴油机状态提供预测参考。经过验证,表明该方法对船舶柴油机燃油系统的故障具有较高的识别率。A method based on rough set and DS evidence theory is proposed to solve the problem of inability to predict and handle ship diesel engine faults in advance.Rough set is used to process massive data,extract important feature parameters through attribute reduction,and obtain a simplified information system.The DS evidence theory obtains the basic credibility allocation based on evidence credibility from information systems,effectively integrates evidence information using evidence synthesis rules,and provides predictive references for the status of ship diesel engines.After verification,it has been shown that this method has a high recognition rate for faults in the fuel system of marine diesel engines.

关 键 词：船舶柴油机 粗糙集 DS证据理论 故障诊断 

分 类 号：U672[交通运输工程—船舶及航道工程]