Process data visualisation with biplots

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dc.contributor.authorGardner S.
dc.contributor.authorLe Roux N.J.
dc.contributor.authorAldrich C.
dc.date.accessioned2011-05-15T15:53:55Z
dc.date.available2011-05-15T15:53:55Z
dc.date.issued2005
dc.description.abstractIn this paper a modern methodology of biplots is introduced as a means for monitoring the behaviour of process systems. This sophisticated methodology allows for the projection of high-dimensional data to a low-dimensional subspace that can be visualised by a human operator. The projections are highly graphical in nature, and rich in information regarding variation in process variables, correlations among these variables, as well as class separation, taking into account the multivariate character of the data. Moreover, as is shown by way of two case studies, process disturbances can be visualised and explored quantitatively by superimposing alpha-bags on biplots. © 2005 Elsevier Ltd. All rights reserved.
dc.description.versionArticle
dc.identifier.citationMinerals Engineering
dc.identifier.citation18
dc.identifier.citation9
dc.identifier.issn8926875
dc.identifier.other10.1016/j.mineng.2004.12.010
dc.identifier.urihttp://hdl.handle.net/10019.1/8892
dc.titleProcess data visualisation with biplots
dc.typeArticle
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