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在辨识机床的热变形模型时，由于所能得到的样本数据较少且含有测量噪声，因此简单地采用传统的辨识方法效果并不理想．为此本文使用Kalman滤波器对数据进行处理以提高辨识精度．
When recognizing the thermal deformation model of a machine tool, the traditional method of identification is not effective simply due to the small sample data available and the measurement noise. To this end, this paper uses Kalman filter to process the data to improve the recognition accuracy.