Comparison between neural network and Weibull models for failure of Boeing737 engines

Two models for forecasting the failure of Boeing-737 engines were made usin g an artificial neural network. The first model was made for the failure of the engine in general and due to all technical reasons. The second model w as made for engine failure particularly related to erosion. Weibull models were also made to compare with the neural model for validation purposes. it was demonstrated in the results that the neural network models were in clo ser agreement with real data than the Weibull models in predicting the fail ure of the engines for bath general and erosion cases.