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A Method of Measuring Data Fusion Based on EMBET

The use of data fusion algorithms for fusion processing of the obtained multivariate measurement data is a common method to improve measurement accuracy. This paper designs a multivariate measurement data fusion method based on the principle of EMBET, which avoids the limitation of the conventional EMBET method for measuring equipment error models and effectively improves the accuracy of multivariate measurement data fusion. The effectiveness of this method is verified by measured data.