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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%;
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
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%)
  Recognised Researcher Prof GA (Graham ) Ault , Electronic and Electrical Engineering, University of Strathclyde (0.000%)
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.
Publications (none)
Final Report (none)
Added to Database 13/08/07