Projects: Summary of Projects by RegionProjects in Region Scotland involving University of Strathclyde : EP/C547594/1 |
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Reference Number | EP/C547594/1 | |
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 50%; Applied Research and Development 50%; |
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Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100% | |
UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
Principal Investigator |
Professor I Andonovic No email address given Electronic and Electrical Engineering University of Strathclyde |
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Award Type | Standard | |
Funding Source | EPSRC | |
Start Date | 01 October 2005 | |
End Date | 30 September 2008 | |
Duration | 36 months | |
Total Grant Value | £440,292 | |
Industrial Sectors | Manufacturing; Transport Systems and Vehicles | |
Region | Scotland | |
Programme | Information and Communications Technology | |
Investigators | Principal Investigator | Professor I Andonovic , Electronic and Electrical Engineering, University of Strathclyde (99.996%) |
Other Investigator | Dr S McArthur , Electronic and Electrical Engineering, University of Strathclyde (0.001%) Professor J McDonald , Electronic and Electrical Engineering, University of Strathclyde (0.001%) Professor A McNab , Electronic and Electrical Engineering, University of Strathclyde (0.001%) Dr D Harle , Electronic and Electrical Engineering, University of Strathclyde (0.001%) |
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Recognised Researcher | Prof GA (Graham ) Ault , Electronic and Electrical Engineering, University of Strathclyde (0.000%) |
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Web Site | ||
Objectives | NB This grant is linked to EP/C014790/1 and EP/C014804/1 | |
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 including a) 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, and c) 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 |