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Modeling and monitoring for handling nonlinear dynamic processes

机译：建模和监控以处理非线性动态过程

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摘要

In this paper, a new online monitoring approach is proposed for handling the dynamical multimode problem in the industrial processes. The contributions are as follows: (1) extracting method of the common characteristics from different modes is proposed; (2) nonlinear dynamic monitoring method is proposed; and (3) a new model analysis method is proposed. There are both similarity and dissimilarity in the underlying correlations of different modes. After two different subspaces are separated, models of the common and specific subspaces are built respectively. Then the common subspace and specific subspace are analyzed, where the monitoring process is carried out in each subspace. When the mode switches, the specific monitoring model is changed. The corresponding confidence regions are constructed according to their models respectively. The effectiveness of the proposed method has been demonstrated via simulated examples.
机译：本文提出了一种新的在线监测方法来处理工业过程中的动态多模态问题。主要贡献如下：（1）提出了从不同模式中提取共同特征的方法。 （2）提出了非线性动态监测方法; （3）提出了一种新的模型分析方法。不同模式的基础相关性既有相似性，又有不相似性。分离两个不同的子空间后，分别建立公共子空间和特定子空间的模型。然后分析公共子空间和特定子空间，在每个子空间中执行监视过程。模式切换时，将更改特定的监视模型。分别根据其模型构造相应的置信区域。通过仿真实例证明了该方法的有效性。

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