Fault diagnosis model based on modified evidence theory and neural network
基于改进证据理论和神经网络的故障诊断模型*

Directing to the low precision of single fault diagnosis systerm,this paper put forward the decision-level fusion fault diagnosis model which fusing neural network and D-S evidence.The method used D-S's evidence to deal with inaccuracy and fuzzy information,and evidence's basic belief assignment could be sloved by neural network.Proposed a new combination rule,which based on reallocation of the basic probability assigned to conflict focal elements.The method could solve the problem of conflicting evidences....