融合生产信息的产品检验不确定度评定

摘要

为合理减小测量不确定度对产品合格判定的影响,研究融合生产信息的产品检验不确定度评定.建立融合加工信息和测量信息的贝叶斯信息融合模型,基于被测参数后验分布对测量结果及其不确定度进行重新估计,依据信息融合后的结果进行产品合格判定;提出利用质量控制信息计算贝叶斯先验参数的方法.仿真实验和实例分析结果表明,在产品检验不确定度评定中融入生产信息,可有效扩大产品检验合格区,合理减小合格判定的工作量.%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.