摘要
给出了一种基于PCA(PrincipalComponentAnalysis)的多元质量控制与诊断方法;基于Matlab计算平台,给出了该方法的辅助程序实现,包括过程数据预处理、PCA模型构建、多元质量控制图、主成分单变量控制图和原始单变量控制图的绘制;提出了一种基于PCA的多元质量控制与诊断的过程模型,结合电子装配行业表面贴装工艺中焊点质量控制进行了实例研究。
This article presented a method of multivariate quality control and diagnose based on the principal component analysis and its implementation on the Matlab platform, including data processing, PCA model computation and various quality control charts construction. Furthermore, this article proposed a process model of multivariate quality control and diagnose based on the PCA. A case study in the solder joints quality control is given to illustrate the use of the proposed process model.
出处
《制造业自动化》
北大核心
2006年第8期10-13,18,共5页
Manufacturing Automation
基金
国家自然科学基金资助项目(50475005)
关键词
统计过程控制
多变量控制系统
主成分分析
statistical process control
multivariable control systems
Principal Component Analysis
