DAME: searching large data sets within a grid-enabled engineering application

J. Austin; R. Davis; M. Fletcher; M. Jessop; B. Liang; A. Pasley; T. Jackson

doi:10.1109/JPROC.2004.842746

DAME: searching large data sets within a grid-enabled engineering application

J. Austin, R. Davis, M. Fletcher, M. Jessop, B. Liang, A. Pasley, T. Jackson

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

The use of search engines within the Internet is now ubiquitous. This work examines how Grid technology may affect the implementation of search engines by focusing on the Signal Data Explorer application developed within the Distributed Aircraft Maintenance Environment (DAME) project. This application utilizes advanced neural-network-based methods (Advanced Uncertain Reasoning Architecture (AURA) technology) to search for matching patterns in time-series vibration data originating from Rolls-Royce aeroengines (jet engines). The large volume of data associated with the problem required the development of a distributed search engine, where data is held at a number of geographically disparate locations. This work gives a brief overview of the DAME project, the pattern marching problem, and the architecture. It also describes the Signal Data Explorer application and provides an overview of the underlying search engine technology and its use in the aeroengine health-monitoring domain.

Original language	English
Pages (from-to)	496-509
Number of pages	13
Journal	Proceedings of the IEEE
Volume	93
Issue number	3
DOIs	https://doi.org/10.1109/JPROC.2004.842746
Publication status	Published - Mar 2005

Keywords

Advanced Uncertain Reasoning Architecture(AURA)
distributed search
Grid industrial application
timeseriesdata.

Access to Document

10.1109/JPROC.2004.842746

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1398006

Cite this

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abstract = "The use of search engines within the Internet is now ubiquitous. This work examines how Grid technology may affect the implementation of search engines by focusing on the Signal Data Explorer application developed within the Distributed Aircraft Maintenance Environment (DAME) project. This application utilizes advanced neural-network-based methods (Advanced Uncertain Reasoning Architecture (AURA) technology) to search for matching patterns in time-series vibration data originating from Rolls-Royce aeroengines (jet engines). The large volume of data associated with the problem required the development of a distributed search engine, where data is held at a number of geographically disparate locations. This work gives a brief overview of the DAME project, the pattern marching problem, and the architecture. It also describes the Signal Data Explorer application and provides an overview of the underlying search engine technology and its use in the aeroengine health-monitoring domain.",

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