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。
For better detection to the thermal generating set equipment fault, using the multivariate statistical process control, a more precise equipment parameter model is obtained.
为了更好的对火电厂发电机组设备故障进行检测，运用多变量统计过程控制技术获得更为精确的机组设备参数模型。
Conventional analytical methods used in Multivariate Statistical Process Control, such as Principal Component Analysis, Multi-way Principal Component Analysis are summarized.
对多元统计过程控制常用的分析方法进行了介绍和总结，如主元分析、多向主元分析。
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。
Based on analysis of the data characters of batch processes, this paper presents a review of multivariate statistical performance monitoring and control of batch process.
从间歇过程独特的数据特性出发，对现有的建模和统计监控方法进行了综述，并对这一领域中依然存在的问题以及研究前景给出了中肯的评述。
Based on analysis of the data characters of batch processes, this paper presents a review of multivariate statistical performance monitoring and control of batch process.
从间歇过程独特的数据特性出发，对现有的建模和统计监控方法进行了综述，并对这一领域中依然存在的问题以及研究前景给出了中肯的评述。
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