基于小波时间序列模型的磨加工尺寸预测技术研究

Research on Grinding Size Prediction Technology Based on Wavelet Time Series Model

磨削加工是高精密零件的重要加工环节,且影响磨削工件尺寸精度的因素复杂。针对传统预测模型无法准确预测其趋势变化或预测效果较差,且预测精度不高这一问题,通过对磨加工过程进行分析,对尺寸预测技术的适用性进行研究,提出将小波变换与时间序列分析相结合的预测模型。通过实验验证小波时间序列模型预测平均误差不超过1μm,平均绝对误差MAE=0.105,均方根误差RMSE=0.185,平均绝对百分比误差MAPE=0.159,证明了基于小波时间序列模型的磨加工尺寸预测技术的精确性与可行性。

Grinding is an important part of high-precision process,and the factors affecting size accuracy of grinding workpiece are complex.Aiming at the problem that the traditional prediction model cannot be used to accurately predict the trend change or the prediction effect is poor,and the prediction accuracy is not high,through the analysis of the grinding process,the applicability of the size prediction technology was studied,and a prediction model combining wavelet transform and time series analysis was proposed.It is verified by experiments that the average prediction error of the wavelet time series model is less than 1μm,the average absolute error is 0.105,the root mean square error is 0.185,the average absolute percentage error is 0.159.The experiment proves the accuracy and feasibility of the grinding size prediction technology based on wavelet time series model.