multivariate statistical process control for process monitoring and diagnosis are becoming more common in academic re- search, but are still underutilized in industrial practice.
将多变量统计过程控制应用于过程监控与诊断,在学术研究中已经较为普遍,但在工业实践方面还未充分施行。
principal component analysis(pca) and partial least squares(pls) are the conventional techniques of multivariate statistical process control but exist some defects.
在多变量统计过程控制中,传统的方法主要包括主元分析和偏最小二乘,这些方法存在着诸多缺陷。
then, a multi-client distributed process monitoring system based on corba is developed w using multivariate statistical process control technology for process industries.
然后设计并实现了一个结合多元统计过程控制方法,基于corba技术的多客户端工业过程实时监测软件系统。
then the inefficiency on fault recognition based on multivariate statistical process control is presented.
指出了多元统计过程控制在故障识别上能力的不足。
speedy development of computer technique has brought ever-growing progresses of the research and application of multivariate statistical process control (mspc).
计算机技术的快速发展为多变量统计过程控制(mspc)的研究和应用带来了日益旺盛的生命力。