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Since the changes of raw material properties, external environment and other conditions, during practical industrial processes, multiple stable operation modes may arise, and between any two stable modes may undergo slowly changing transition modes. The existing multimode process monitoring methods haven't monitored dynamic characteristics of the transition modes efficiently. This paper adopts differential...
The traditional principal component analysis (PCA) method divides the variable space into two parts: Principal subspace and Residual subspace by orthogonal decomposition. It has been widely used in fault detection process, but it is difficult to interpret the modes of the fault because of model compound effect, and the ability to distinguish the pattern which is no significant is affected. In industrial...
In this paper, a PLS-based fault-relevant reconstruction method is proposed for fault detection and identification. The PLS-based proposed method finds a set of latent variables to project the training data onto a process space to analyze the problem of reconstruction and is used to find the directions which can best characterize the fault effects relevant to normal status. According to the fault...
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