multivariate statistical process control的意思|示意
多元统计过程控制
multivariate statistical process control的网络常见释义
程管制 ...并将多个变数之间的相关性纳入考虑, 此种品质管制方法即称为多 变量统计制程管制( Multivariate Statistical Process Control) H o t e l l i n g T 2 多变量管制图 • 从事多变量分析研究的首推Hotelling(1931) • 其管制图主要的想法是利用新观察值与历...
多变量统计过程控制 多变量统计过程控制(Multivariate Statistical Process Control, MSPC)最基本方法是主元分析和偏最小二乘法(Partial least square, PLS),但随着各种...
多元统计过程控制 【分类号】: TP277 【正文快照】: 引言1近年来,多元统计过程控制(multivariate statistical process control,MSPC)作为一种基于多元统计投影理论的过程性能监控和故障诊断技术受到了学术界和工业界的广泛重视,并在化工生产...
统计过程控制 【分类号】: TP277 【正文快照】: 引言1近年来,多元统计过程控制(multivariate statistical process control,MSPC)作为一种基于多元统计投影理论的过程性能监控和故障诊断技术受到了学术界和工业界的广泛重视,并在化工生产...
multivariate statistical process control相关例句
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。