摘要
本文在D S证据理论的基础上 ,结合模糊集合论 ,给出了电子电路故障定位的多传感器数据融合方法 .通过测试电路中的被诊断元件的工作温度和工作电压两个物理量 ,得出D S证据理论中两传感器对各待诊断元件的信度函数分配 ,再利用D S联合规则得到融合后的信度函数分配 ,从而确定故障元件 ,并通过单传感器诊断结果与融合诊断结果比较 。
A data fusion method for circuit fault diagnosis based on D S evidential theory and fuzzy logical theory is presented.By measuring the temperature and voltage of circuit component,the belief function assignment of two sensors to circuit component is gotten,and the fusion belief function assignment is gotten by using D S rule,and fault component is found.By comparing the diagnosis results based on separate original data and fused data respectively,it is shown that the latter is more accurate than the former in the circuit fault recognition.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2002年第2期221-223,共3页
Acta Electronica Sinica
基金
国家自然科学基金 (No .596770 2 1 )
安徽省教委自然科学基金 (No .2 0 0 0JI1 74)
