By the same authors

The Signal Data Explorer: A high performance Grid based signal search tool for use in distributed diagnostic applications

Research output: Chapter in Book/Report/Conference proceedingChapter

Full text download(s)

Links

Published copy (DOI)

Author(s)

Department/unit(s)

Publication details

Title of host publicationSixth IEEE International Symposium on Cluster Computing and the Grid
DatePublished - 2006
Pages217-224
Number of pages8
PublisherIEEE COMPUTER SOC
Place of PublicationLOS ALAMITOS
EditorsSJ Turner, BS Lee, W Cai
Original languageEnglish
ISBN (Print)0-7695-2585-7

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.

Bibliographical note

© 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.

Projects

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations