基于贝叶斯理论的HotellingT2小样本多元工序质量监控方法OA

Traditional Hotelling T2 control chart method suitable for multivariate quality control has certain limitations in small batch process-ing due to its sensitivity to outliers due to limited sample data.To this end,Bayesian theory is combined with traditional Hotelling T2 control charts to estimate Bayesian parameters through historical batch process quality distribution information and existing real-time sample data.A Hotelling T2 process quality control chart based on Bayesian theory is constructed to resist the impact of outliers in the multivariate quality con-trol process of small batch processing.The analysis of quality control examples for engine camshaft processes shows that the proposed method can effectively resist the impact of outliers compared to traditional methods,has good anti-interference and stability,and can better monitor the uncontrolled state of process quality control.