Fletcher, Martyn, Jackson, Tom, Jessop, Mark et al. (2 more authors) (2006) The Signal Data Explorer: A high performance Grid based signal search tool for use in distributed diagnostic applications. In: Turner, SJ, Lee, BS and Cai, W, (eds.) Sixth IEEE International Symposium on Cluster Computing and the Grid. IEEE Computer Society , Singapore , pp. 217-224.
Abstract
We describe a high performance Grid based signal search tool for distributed diagnostic applications developed in conjunction with Rolls-Royce plc for civil aero engine condition monitoring applications. With the introduction of advanced monitoring technology into engineering systems, healthcare, etc., the associated diagnostic processes are increasingly required to handle and consider vast amounts of data. An exemplar of such a diagnosis process was developed during the DAME project, which built a proof of concept demonstrator to assist in the enhanced diagnosis and prognosis of aero-engine conditions. In particular it has shown the utility of an interactive viewing and high performance distributed search tool (the Signal Data Explorer) in the aero-engine diagnostic process. The viewing and search techniques are equally applicable to other domains. The Signal Data Explorer and search services have been demonstrated on the Worldwide Universities Network to search distributed databases of electrocardiograph data.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Funding Information: | Funder Grant number EPSRC EP/E002331/1 |
Depositing User: | Repository Assistant |
Date Deposited: | 25 Aug 2006 |
Last Modified: | 17 Dec 2024 00:32 |
Published Version: | https://doi.org/10.1109/CCGRID.2006.102 |
Status: | Published |
Publisher: | IEEE Computer Society |
Identification Number: | 10.1109/CCGRID.2006.102 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:1525 |