Project OverviewDAME will develop a generic test bed for Distributed diagnostics that will be built upon grid-enabled technologies and web services. The generic framework will be deployed in a proof of concept demonstrator in the context of maintenance applications for civil aerospace engines. The project will draw together a number of advanced core technologies, within an integrated web services system:
DAME will address a number of problems
associated with the design and implementation of On-line decision support
systems. The most significant of these are access to remote resources
(experts, computing, knowledge bases etc), communications between key personnel
and actors in the system, control of information flow and data quality, and the
integration of data from diverse global sources within a strategic decision
The 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 project 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.
The project has the following aims:
· To develop a Distributed Diagnostic Grid Test-bed.
· To demonstrate the benefits of the Grid test-bed on a realistic Rolls-Royce Aircraft Engine Maintenance scenario.
· To design and build a system architecture for distributed diagnostic support that takes advantage of the Grid middleware, focusing particularly on the management of the data within the Grid.
· To study, and increase understanding of, the performance issues associated with data grids (e.g. data replication).
· To design a distributed data store for unstructured, non-indexed data
· To develop Grid-enabled fault identification and diagnostic methods
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