Multivariate statistical modelling for fault analysis and quality prediction in batch processes
Multivariate statistical process control (MSPC) has emerged as an effective technique for monitoring processes with a large number of correlated process variables. MSPC techniques use principal component analysis (PCA) and partial least squares (PLS) to project the high dimensional correlated proces...
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University of Newcastle Upon Tyne
2011
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.576960 |