Fault prediction based on information fusion and improved UGM(1,1)model
Zhao Jian-zhon · Systems engineering and electronics · 2013
In view of the problems of unequal date sampling time interval,the great difficulty of date sampling and the small date capacity in fault prediction,aprediction method based on information fusion and improved unequal interval grey model(IUGM)according to information fusion technical and grey prediction theory is poposed.Firstly,unequal interval grey model is built by nonlinear regression idea and optimized by initial value improved,residual error correction and metabolism.Then the degree of membership weighted method is put forward based on weighted thought so as to determine degree of membership value of models.Finally,the fault prediction model of special individuality is built on the basis of degree of membership value and IUGM(1,1)model.The results of simulating example validate the validity of the proposed method.