Uncertainty Evaluation Combined with Production Information for Product Inspection
WANG Han-bin,CHEN Xiao-huai,CHENG Zhen-ying,ZHONG Wei-hong,LI Hong-li
1. School of Instrument Science and Opto-electronic Engineering, Hefei University of Technology, Hefei, Anhui 230009, China
2. Ningbo Institute of Technology, Zhejiang University, Ningbo, Zhejiang 315100, China
Abstract：To reasonably reduce the influence of measurement uncertainty on the product conformity assessment, uncertainty evaluation combined with production information for product inspection was studied. A Bayes information fusion model combining processing information with measured information was established, with which the measurement result and its uncertainty were reestimated based on the posterior distribution of measured parameter, and the product conformity assessment was conducted according to the results after information fusion. The method to calculate Bayes prior parameters by quality control information was proposed. Simulation experiment and example analysis results show that combining production information into the measurement uncertainty evaluation in product inspection can effectively expand the range of conformance zone and reasonably reduce the workload of conformity assessment.
2017, Vol. 38 
