| 3 corrosion damage forecasting methods were put forward based on accelerated corrosion test data of LD2 structural material of aircraft, which were data fitting, neural network, and time series methods. Basic forecasting principle,forecasting accuracy, and forecasting extension of the3prediction methods were compared and analyzed. The result showed that the prediction accuracy of neural network and time series method are higher than data fitting method; the prediction extensionality of time series method is the best, which can predict the value and development trend of aluminum alloy corrosion depths in a future period with higher precision. It was suggested that appropriate forecasting method should be selected based on the need of prediction research. |