| EPSRC Reference: |
GR/N01255/01 |
| Title: |
ADVANCED SIGNAL PROCESSING FOR ENHANCED SPECTROSCOPIC DATA INTERPRETATION |
| Principal Investigator: |
Martin, Professor EB |
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| Department: |
Chemical Engineering & Advanced Material |
| Organisation: |
Newcastle University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
25 August 2000 |
Ends: |
24 August 2003 |
Value (£): |
42,869
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| EPSRC Research Topic Classifications: |
| Design of Process systems |
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| EPSRC Industrial Sector Classifications: |
| Manufacturing |
Chemicals |
| Pharmaceuticals and Biotechnology |
Information Technologies |
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Summary on Grant Application Form |
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The analysis of classical sensor information and spectrosocpic measurements has usually been carried out separately. Classical sensor based systems, traditionally installed for operations monitoring of manufacturing process, have been monitored based upon the analysis of individual variables (a univariate approach). This implicitly assumes that the variables are unrelated. More recently through the application of the statistical projection techniques of principal components analysis and projection to latent structures, industrial manufacturing processes are monitored utilising all the measurement information available from classical sensors. This has not yet however included the integration of spectrosopic data in the subsequent analysis which has been the domain of the analytical chemist and the chemometrician. By integrating and relating these two areas of sensor technology, material properties can be better related to process conditions leading to improvements in production quality and consistency. The project aims to extend the application domain of multivariate statistical process control techniques through (i) the integration of product property information through the use of spectroscopic data from on-line analysers such as Near-Infra-Red (NIR) and Raman spectroscopy, with classical sensor based measurements, and (ii) the extension of current technology to handle simultaneously both the multivariate behaviour and the time dependent structure of the data.
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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 |