Prognostic of electronic equipment based on adaptive neural network ensemble
Liu Ai-hu · Journal of PLA University of Science and Technology · 2013
To support the presentative mantainance of electronic equipment,aprognisitic method of electronic equipments was proposed based on adaptive neural network ensemble(ANNE),which uses fuzzy Cmeans(FCM)clustering algrithm to generate training samples of the individual neural network.The clustering number is the number of the individual of ANNE.ANNE adaptively adjusts the weights of ANNE.The prognistic model was bulit with historical fault data of electronic equipment by adaptive neural network ensemble.The prognistic model was used to predict fault occuring time by current time.The simulation example demenstrats that the proposed method can accuratly predict the fault time with smoothing fault interval time.