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In process monitoring, faults might be completely detected by T2 or SPE or both of them. However, one index rather than two indices is preferred to monitor a process in practice. The number of principal components (PCs) in principal component analysis (PCA) impacts the fault detection performance obviously. In this paper, we focus on developing a selection criterion for the number of the PCs based...
Water quality evaluation is an important basic work for the water environmental management and protection. This paper presents a new water quality monitoring method based on principal component analysis-wavelet neural network combined model. First, the establishment of water quality evaluation index system, and then using principal component analysis to remove the relevance, overlap information of...
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