Projects: Projects for Investigator |
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Reference Number | EP/C014804/1 | |
Title | Networking of Distributed Sensors for Proactive Condition Monitoring of Wind Turbines | |
Status | Completed | |
Energy Categories | Renewable Energy Sources(Wind Energy) 100%; | |
Research Types | Basic and strategic applied research 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 50%; PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
Principal Investigator |
Professor KJ Turner No email address given Computing Science and Mathematics University of Stirling |
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Award Type | Standard | |
Funding Source | EPSRC | |
Start Date | 01 October 2005 | |
End Date | 30 November 2008 | |
Duration | 38 months | |
Total Grant Value | £238,469 | |
Industrial Sectors | Communications; Environment | |
Region | Scotland | |
Programme | Information & Communication Technology | |
Investigators | Principal Investigator | Professor KJ Turner , Computing Science and Mathematics, University of Stirling (99.999%) |
Other Investigator | Professor EH Magill , Computing Science and Mathematics, University of Stirling (0.001%) |
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Industrial Collaborator | Project Contact , Scottish Power Ltd (0.000%) Project Contact , Moog Insensys Ltd (0.000%) Project Contact , National Engineering Laboratory (0.000%) Project Contact , MESL Microwave Limited (0.000%) Project Contact , Agilent Technologies UK Ltd (0.000%) |
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Web Site | ||
Objectives | NB This grant is linked to EP/C014790/1 and EP/C547594/1 | |
Abstract | This project addresses the investigation and demonstration of techniques that enable proactive automated control and management of sensor arrays, focusing in particular on applications of sensor arrays in the operation and management of wind farms. The research will identify desirable proactive behaviours and propose novel nature-inspired algorithms to deliver them. It will also explore mechanisms that facilitate the use of proactive control and management software includinga) a policy drivenmanagement infrastructure that will use high level user goals to constrain the instrument level proactive behaviours,b) a parallel platform that supports appropriate observation, communication and actuation, andc) a lightweight, resilient peer to peer wireless communications architecture.The project will integrate the results of this research into a large scale demonstration intended for deployment at a hilltop windfarm | |
Data | No related datasets |
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Projects | No related projects |
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Publications | No related publications |
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Added to Database | 13/08/07 |