Numerous statistical process monitoring methods based on principal component analysis (PCA) have been developed and applied to various chemical processes for fault detection and identification.
基于主元分析(pca)的统计检测方法已经被广泛应用于各种化工过程的故障检测和识别。
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。
His research interests include quality engineering and management to manufacturing and service industries, statistical process control, monitoring and diagnosis.
他的研究领域包括：制造与服务业的质量工程和管理、统计过程控制、监督和诊断。
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。
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。
Do the process control plans(normal and GP-12) agree with the actual process? Do production part checks and statistical monitoring take place as outlined on the process control plan?
过程控制计划（一般的和GP-12）是否与现行过程相符?是否按过程控制计划作零件检验和统计监测?。
Do the process control plans(normal and GP-12) agree with the actual process? Do production part checks and statistical monitoring take place as outlined on the process control plan?
过程控制计划（一般的和GP-12）是否与现行过程相符?是否按过程控制计划作零件检验和统计监测?。
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