Monitoring of an industrial liquid–liquid extraction system with kernel-based methods

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Monitoring of an industrial liquid–liquid extraction system with kernel-based methods

The behaviour of liquid–liquid extraction systems can be complex and as a result linear methods of process condition monitoring such as principal component analysis or partial least squares may not be able to detect and identify process faults when they occur. In contrast, kernel-based methods repre...

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Bibliographic Details
Main Authors:	Jemwa, G., Aldrich, Chris
Format:	Journal Article
Published:	Elsevier Science BV 2005
Subjects:	Support vector machines Process monitoring Fault identification Fault detection Liquid–liquid extraction Kernel-based methods
Online Access:	http://hdl.handle.net/20.500.11937/3863

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