工业技术与职业教育2025，Vol.23Issue(1)：1-10,10.
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
摘要
Abstract
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Key words
marine diesel engine/rough set/DS evidence theory/fault diagnosis分类
交通运输引用本文复制引用
贾志涛,赵祥,吴泽启,郑杰..基于粗糙集和DS证据理论的船舶柴油机故障诊断研究[J].工业技术与职业教育,2025,23(1):1-10,10.基金项目
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. （课题编号:YJKT202308）
