The frosting of aircraft on the ground destroys aerodynamic shape and has a negative effect on the flight performance. In order to monitor and forecast on aircraft frosting on the ground accurately

experimental research on airfoil frosting is carried out using variety of sensors; by analyzing frost layer growth curve of simulating airfoil in different environment conditions

law of airfoil frosting is researched. Analyze datas of frosting experiment

propose polynomial regression predicting model in different frosting environments. Meanwhile

multicollinearity is avoided by orthogonalizing polynomials

which make prediction model has high curve fitting and high precision

fast and accurate prediction for ground frosting of aircrafts is realized.