Modeling Failure Rate for Fokker F-27 Tires Using Neural Network

摘要

An artificial neural network (ANN) model for predicting the failure rate of Fokker F-27 airplane tires utilizing the backpropagation algorithm as a learning rule is presented. A comparison of the neural model with the Weibull model is made for validation purposes. The results show that the failure rate predicted by the ANN is closer in agreement with the real data then the predicted by the Weibull model.