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

被引：12

作者：

Austin, J ^{[1
]}

Davis, R ^{[1
]}

Fletcher, M ^{[1
]}

Jackson, T ^{[1
]}

Jessop, M ^{[1
]}

Liang, B ^{[1
]}

Pasley, A ^{[1
]}

机构：

[1] Univ York, Dept Comp Sci, Adv Comp Architectures Grp, York YO10 5DD, N Yorkshire, England

来源：

PROCEEDINGS OF THE IEEE | 2005年 / 93卷 / 03期

关键词：

Advanced Uncertain Reasoning Architecture (AURA); distributed search; Grid industrial application; time-series data;

D O I：

10.1109/JPROC.2004.842746

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The use of search engines within the Internet is now ubiquitous. This paper 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 paper 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 aero-engine health-monitoring domain.

引用

页码：496 / 509

页数：14

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