Dynamic prediction for thermal error of high-speed machine center using grey bootstrap

Thermal error is always the key factor which affects processing precision of high-speed machine center. How to predict the thermal error of the high-speed machine center, is the prerequisite and foundation of thermal error compensation. To solve this problem, a grey bootstrap model is proposed, which is first used thermal error prediction of high-speed machine center. Experimental study shows that the prediction accuracy is very high using grey bootstrap model, and the maximum, the minimum and the mean of the relative errors of the predicted results are respectively 7.72%, 1.19% and 4.48%, and the reliability of the predicted interval is proved to be 100%. The point prediction and interval prediction are actualized, which solve the problem of dynamic evaluation of thermal error of high-speed machine center.