Author:
Wu Xiaoping,Zhang Mei,Li Guihua,Zhao Haifeng,Wu Haiting
Abstract
Abstract
The best way to improve the accuracy of coordinate measuring machine (CMM) is to establish a correlation dynamic error correction model. However, due to the complex source of dynamic measurement error, the traditional method cannot work well. In this paper, decision regression tree is used to analyze the complex relationship between dynamic measurement error and its influencing factors, and the measurement error is predicted. The results show that the algorithm is simple, fast and superior to the least square estimation.
Subject
General Physics and Astronomy
Reference15 articles.
1. Layerwise mixed least-squares finite element models for static and free vibration analysis of multilayered composite plates[J];Moleiro;Composite Structures,2010
2. Error evaluation in reverse engineering of aspherical lenses[C];Piratellifilho,2015
3. A neural network approach to determining optimal inspection sampling size for CMM[J];Zhang;Computer Integrated Manufacturing Systems,1996
4. Basic wavelet theory[J];Novikov;Russian Mathematical Surveys,1998
5. Hybrid modeling method for CMM dynamic error[J];Yang;Yi Qi Yi Biao Xue Bao/Chinese Journal of entific Instrument,2010
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