Details of Grant

EPSRC Reference:

GR/R67668/01

Title:

Distributed Aircraft Maintenance Environment: DAME

Principal Investigator:

Other Investigators:

Djemame, Professor K	Wellings, Professor A	Kadirkamanathan, Professor V
Dew, Professor P	Thompson, Professor H	McDermid, Professor JA
Fleming, Professor PJ	Tarassenko, Professor L	McKay, Professor A

Researcher Co-Investigators:

Project Partners:

Data Systems & Solutions, Llc

Rolls-Royce Plc

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.

Key Findings

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Potential use in non-academic contexts

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Impacts

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Summary
Date Materialised

Sectors submitted by the Researcher

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Project URL:

Further Information:

Organisation Website:

http://www.york.ac.uk