Process data visualisation with biplots
In 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 high...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2005
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| Online Access: | http://hdl.handle.net/20.500.11937/45724 |
| _version_ | 1848757364630487040 |
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| author | Gardner, S. Le Roux, N. Aldrich, Chris |
| author_facet | Gardner, S. Le Roux, N. Aldrich, Chris |
| author_sort | Gardner, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In 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. |
| first_indexed | 2025-11-14T09:26:55Z |
| format | Journal Article |
| id | curtin-20.500.11937-45724 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:26:55Z |
| publishDate | 2005 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-457242017-02-28T01:42:10Z Process data visualisation with biplots Gardner, S. Le Roux, N. Aldrich, Chris Hydrometallurgy Froth flotation Process control Modelling In 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 Journal Article http://hdl.handle.net/20.500.11937/45724 Elsevier restricted |
| spellingShingle | Hydrometallurgy Froth flotation Process control Modelling Gardner, S. Le Roux, N. Aldrich, Chris Process data visualisation with biplots |
| title | Process data visualisation with biplots |
| title_full | Process data visualisation with biplots |
| title_fullStr | Process data visualisation with biplots |
| title_full_unstemmed | Process data visualisation with biplots |
| title_short | Process data visualisation with biplots |
| title_sort | process data visualisation with biplots |
| topic | Hydrometallurgy Froth flotation Process control Modelling |
| url | http://hdl.handle.net/20.500.11937/45724 |