摘要
提出了一种改进的目标类型数获得基本概率赋值的方法,利用证据理论的决策级融合进行诊断识别,并将该方法应用到矿井提升机的健康诊断中。诊断结果表明,经过多传感器特征信息融合后,诊断结论的可信度明显提高,不确定性明显减小,实现了矿井提升机的准确诊断。
The basic probability assignment functions are obtained according to an improved method of the object types is presented. The evidence theory is applied to the diagnosis identification,and the method is applied to the health diagnosis of the mine hoister. The diagnosis result indicates that the credibility of diagnosis is improved markedly and the uncertainty is reduced significantly after the multi-sensor characteristic information fusion. The accurate diagnosis to the mine hoister is actualized.
出处
《微计算机信息》
2010年第31期65-66,86,共3页
Control & Automation
基金
基金申请人:王新
项目名称:变频调速设备及系统智能健康诊断技术的研究
基金颁发部门:河南省科技厅(072102240006)
关键词
信息融合
健康诊断
基本概率赋值
证据理论
矿井提升机
information fusion
health diagnosis
basic probability assignment function
Evidence theory
mine hoister