Machining accuracy retainability prediction of machine tool based on least square support vector machine

The accuracy retainability is becoming an important performance index of machine tool, and how to improve it is a tough problem faced to manufacturers and users. Generally, it needs to measure the errors termly and repeatedly during the specified period to analyze the timeliness machining accuracy retainability, which generates intricate and vast error data. In this paper, a solution to predict machining accuracy retainability is proposed based on least square support vector machine (LS-SVM). A vertical machining center that machines plane and hole continuously for half a year is selected as an illustrative example. The analysis results show that the proposed method is good at predicting the timeliness machining accuracy retainability of machine tool.