EPSRC Reference: |
GR/M68909/01 |
Title: |
TRI-LINEAR DECOMPOSITIONS IN MULTIVARIATE STATISICAL PROCESS CONTROL |
Principal Investigator: |
Martin, Professor EB |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Mechanical and Systems Engineering |
Organisation: |
Newcastle University |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
25 March 1999 |
Ends: |
24 May 1999 |
Value (£): |
15,450
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EPSRC Research Topic Classifications: |
Design of Process systems |
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EPSRC Industrial Sector Classifications: |
Manufacturing |
Chemicals |
Construction |
Pharmaceuticals and Biotechnology |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
An area of increasing industrial importance is that of agile and responsive manufacturing through batch-type operations. Currently there is a lack of fundamental research into the key methodologies required to develop process performance monitoring schemes which consider both the dynamic trajectories of the batch and also the correlations present between the variables themselves. A key area of research is that of tri-linear decomposition. It is proposed to investigate the use of tri-linear decomposition (TLD), a parallel factor analysis (PARAFAC) and individual difference scaling (INDSCAL) models using both synthetic and actual plant data. The effect of time-line stretching will also be investigated, along with the general problem of how to keep multi-way models updated in the presence of process drift. The Foresight Centre has access to a number of companies that will provide appropriate data, for this study, in particular ICI and Zeneca. A second strand of the work will be to benchmark canonical varieties analysis against other techniques, including principal components analysis (PCA), multi-way PCA, TLD, PARAFAC and the Maximum Likelihood PCA (MLPCA) approaches, that Eigenvector Research has investigated on semiconductor data. The tools and code are in place to allow such comparisons to be made.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.ncl.ac.uk |