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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...
Based on the high performance of support vector machine (SVM) in tackling small sample size, high dimension and its good generalization, a process monitoring method based on principal component analysis (PCA) and SVM is proposed. Firstly, the PCA approach is adopted to extract the feature and reduce the dimension of data by getting rid of the correlation among them, and then it is applied to statistical...
Various feature extraction methods are developed in non-destructive evaluation (NDE). Among many linear methods been proposed, the Fisher linear discriminant is a very useful technique. But as the mean square error (MSE) increased, a classifier based on Fisher criterion will reduce the efficiency. In this paper, we expand the criterion and develop a spindle-deviation minimization (SDM) method to solve...
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