在线支持向量机在数控铣床刀具磨损预测建模中的应用

The application of online support vector machine to tool wear prediction modeling of digital control milling machine

刀具磨损的自动监测是现代制造技术的关键技术之一,是保证自动化加工顺利进行的前提之一。在实际生产当中,对刀具磨损的检测,不能停机检测而只能采取在线的间接监测方法。提出一种基于在线支持向量机的数控铣床刀具磨损的预测方法。结果表明,所提方法具有参数调整时间快、泛化能力强的优点,可以比较准确地监控刀具磨损。

The automatic monitoring of tool wear is one of the key technologies of modern manufacturing technology as well as one premise to ensure the automatic processing to go on well.In actual production,the detection of tool wear should employ indirect online monitoring instead of stop detection.Presents a tool wear prediction method of digital control milling machine based on online support vector machine.The result shows that the presented method with quick parameter adjustment time and good generalization ability can monitor the tool wear fairly accurately.