关键词: 多元工序质量, 相关性诊断, 分组技术, 因子分析, T2控制图

Abstract: Aiming at the problem of correlation diagnosis in multi-variate process quality management,a diagnosis algorithm based on grouping technology was proposed.The integral relationship of all quality components was decomposed as a series of component pair's correlationship by using correlation analysis theorem.According to the relationship between components,the quality components were grouped by factor analysis method to maximize the correlations in same group and minimize the ones between groups.On the basis of neglecting the correlations between groups,the corresponding T2 control charts were built in same group of component pairs to form the diagnosis model.Theoretical analysis and practice proved that the grouping technology could reduce the scale of correlation diagnosis system greatly for the multivariate process quality whose relationships of different components had significant differences.

Key words: multi-variate process quality, correlation diagnosis, grouping technology, factor analysis, T2 control chart