HotellingT2 Small Sample Multivariate Process Quality Monitoring Method Based on Bayesian Theory
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.
multivariate quality controlBayesian theoryHotellingT2 control chart
国家科技期刊平台
NSTL
万方数据
维普
