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

J. Austin

doi:10.1109/JPROC.2004.842746

2005-03-01

PRE

DOI：10.1109/JPROC.2004.842746

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摘要

En 中文

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.

Keyword:

Advanced Uncertain Reasoning Architecture (AURA)

distributed search

Grid industrial application

time-series data