Research on the Spatial Error Distribution Model of Flexible Coordinate Measuring Machines Based on Support Vector Regression

摘要

One of the main reasons on Flexible Coordinate Measuring Machines' (FCMM) less application is that its accuracy can't meet the practical requirements. The spatial error distribution model of FCMM is build using Support Vector Regression (SVR) method. The test shows the data from the model can effectively fit the samples, and arguably the model based on SVR is feasible. The novel method gives an idea of studying the spatial error distribution model of FCMM. Furthermore, the model can provide research foundations for definiting optimal measurement area and thus help to improve the measurement accuracy in the next work.