摘要
以Dempster-Shafer证据理论为基础,确定出一种基于多故障特征信息融合的诊断方法,并以往复机械故障诊断为例详细介绍该诊断方法的实施过程。诊断结果表明,经过多故障特征信息的融合,诊断结论的可信度明显提高,不确定性明显减小,该技术能较好地解决往复机械故障诊断的技术问题。
According to the structure and character of reciprocating machinery,proposed a fault diagnosis method of multiple faults feature information fusion on the basis of Dempster-Shafer evidential theory which is testified detail the method＇s concrete implementation steps in solving the fault diagnosis of reciprocating machinery.In what,take the fault diagnosis of reciprocating machinery,this paper discussed in detail the executing process of the diagnosis method.It is illustrated in the diagnosis process that the degree of confidence of diagnosis conclusion was evidently improved and the uncertainty of diagnosis conclusion was evidently decreased by the fusion of multiple faults feature information,which fully indicated that this diagnosis method was effective in solving the complex problems of reciprocating machinery fault diagnosis.
出处
《价值工程》
2012年第1期29-30,共2页
Value Engineering
基金
黑龙江省自然科学基金资助项目No.12511007
关键词
D-S证据理论
信息融合
往复机械
故障诊断
Dempster-Shafer Evidential Theory
information fusion
reciprocate machinery
fault diagnosis
