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Details of Grant 

EPSRC Reference: GR/R67668/01
Title: Distributed Aircraft Maintenance Environment: DAME
Principal Investigator: Austin, Professor J
Other Investigators:
McDermid, Professor JA Wellings, Professor A Thompson, Professor H
Djemame, Professor K Dew, Professor P Fleming, Professor PJ
McKay, Professor A Kadirkamanathan, Professor V Tarassenko, Professor L
Researcher Co-Investigators:
Project Partners:
Data Systems & Solutions, Llc Rolls-Royce Plc (UK)
Department: Computer Science
Organisation: University of York
Scheme: Standard Research (Pre-FEC)
Starts: 01 January 2002 Ends: 30 September 2005 Value (£): 3,096,172
EPSRC Research Topic Classifications:
Aerodynamics Control Engineering
Design & Testing Technology Design Engineering
Information & Knowledge Mgmt Networks & Distributed Systems
EPSRC Industrial Sector Classifications:
Aerospace, Defence and Marine Information Technologies
Related Grants:
Panel History:  
Summary on Grant Application Form
This project aims to build a Grid test-bed for Distributed Diagnostics. The application demonstrator will be a distributed aircraft maintenance environment motivated by the needs of Rolls Royce and its information system partner Data Systems and Solutions. The test bed will build on the USA Data Grids and will address performance issues such as large-scale data management with real time demands. Distributed diagnostics is a generic problem that is fundamental in many fields (e.g. medical, transport and manufacturing). The main deliverables from the project will be a generic Distributed Diagnostics Grid Test-bed; an Aero-gas turbine Application Demonstrator for the maintenance for aircraft engines; and techniques for distributed data mining and diagnostics and an evaluation of the effectiveness of Globus and SRB for this task.The project builds on a key metropolitan grid infrastructure, the White Rose Computational Grid (WRCG), currently under construction between the partner institutions Leeds, Sheffield and York at a cost of 2.8M. The essential theme of this proposal is real-time intelligent feature extraction, intelligent data mining and decision support techniques, where expertise and software tools are distributed across the Grid. The enormity of the databases and the need for distributed access to the data make this a particularly challenging problem for the Grid.
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Further Information:  
Organisation Website: http://www.york.ac.uk