| EPSRC Reference: |
EP/L504713/1 |
| Title: |
Intelligent Condition Monitoring for Civil Nuclear Structures |
| Principal Investigator: |
Lieven, Professor N |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Aerospace Engineering |
| Organisation: |
University of Bristol |
| Scheme: |
Technology Programme |
| Starts: |
17 June 2013 |
Ends: |
26 May 2016 |
Value (£): |
121,087
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Summary on Grant Application Form |
Building on its successful feasibility study, where a potential 25% time-saving for machine fault diagnosis was
demonstrated, the consortium aims to achieve Intelligent Condition Monitoring (ICM) for the civil nuclear industry. This
project will enable Beran and EDF Energy to extend health monitoring to a wider range of machinery, structures and new
civil nuclear plants.
The technology adopted is derived from a physical understanding of non-linearities arising from degradation of
components, utilising expertise in prognostic algorithms from the University of Bristol. The analysis tools will utilise methods
already used extensively in the aerospace and medical sector, which will be adapted for use within nuclear power plant
systems. Industry benefits include increased accuracy, reliability and safety, greater availability of plant through predictive
maintenance, improved operator intelligence, resulting in enhanced plant performance and reduced operating costs.
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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.bris.ac.uk |