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。
A new method based on whiteness test of a time series sequence using statistical inference is presented and it is promoted to on line control performance monitoring.
然后应用统计推断方法，提出了一种基于信号白色性检验的模型失配评估算法，并将其推广为实时在线模型失配评估算法。
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