基于隐马尔科夫模型的机床轴承热误差状态表征

A Characterization of Thermal Error for Machine Tools Bearing Based on HMM

热误差对工件精度有重大影响。引入HMM对机床轴承热误差表征进行实测研究,通过测量轴承的温度以及轴承的热误差,并划分相应状态,研究其相关性,建立相应的HMM,并对HMM中相应算法进行了实例计算。HMM优化后,用易于观测的温度信号表征难于观测的热误差。结果表明,该方法表征的热误差状态与实际测量的热误差状态一致。

The working accuracy of machine tools is decisively affected by thermal error. HMM was introduced to make actual measurement research to thermal error of machine tool beating. The temperature and thermal error of bearing were measured and the states were divided. A corresponding HMM was established, and example calculations by corresponding algorithms of HMM were eartied out. After HMM was optimized, thermal error difficult to observe can be characterized by temperature signal easy to observe. The results show that the thermal error state characterized by this method is consistent with measure one.