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Methods based on multivariate statistical projection analysis have been widely applied for batch processes monitoring. However, conventional methods are linear ones that can only model linear combinations of variables and most batch processes are non-linearity. Traditionally, in process modeling, two solutions for non-linearity have been implemented: non-linear models and local linear models. In this...
The traditional MPCA model takes the entire batch data as a single object, and it is difficult to reveal the changes of process correlation from stage to stage. Considering that multiple phases with transitions from phase to phase are important characteristics of many batch processes, it is desirable to develop stage-based models. However, some stage-based monitoring methods may occur false alarm...
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