| EPSRC Reference: |
GR/S19073/01 |
| Title: |
Novel Approaches for the Analysis of Multivariate Images through Phenomenological Modelling and Sensor Data Fusion |
| Principal Investigator: |
Martin, Professor EB |
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| Department: |
Chemical Engineering & Advanced Material |
| Organisation: |
Newcastle University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
30 September 2002 |
Ends: |
29 January 2003 |
Value (£): |
17,951
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| EPSRC Research Topic Classifications: |
| Design of Process systems |
Instrumentation Eng. & Dev. |
| Statistics & Appl. Probability |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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Recent developments in array detectors have led to a proliferation of imaging instruments in the NIR and IR wavelength regions. These instruments have a wide range of applications in remote sensing and process monitoring. Using radiation in the NIR and IR regions leads to measurements which are rich in chemical (concentration) and physical (particle size, shape, size distribution, film thickness etc) information and the spatial variation of these properties in the sample. The application of multivariate curve resolution (MCR) to NIR images has typically been performed directly to the image data. However, this approach ignores the variability of the light source and the temperature of the sample being imaged. This variability must be accounted for in any multivariate statistical process control application for the model to be both robust and sensitive in terms of the detection of process changes. Past approaches have used empirical based approaches but the proposed research will use ancillary measurements and fundamental physical models. This novel approach that makes optimal use of all available information from on-line hyper-spectral images will lead to robust models that can be used for process monitoring, fault detection and diagnosis and on-line process analytical chemistry. Such a development opens the door to future research and enables the UK to compete in the international arena in this area.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.ncl.ac.uk |