Data Mining for Prognostic of Complex Equipment with Applications in Aerospace and Railroad

Canadian Institute of Mining, Metallurgy and Petroleum
Sylvain Létourneau
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
19
File Size:
659 KB
Publication Date:
May 1, 2008

Abstract

Help organizations maximize the benefits of the data that they collect ? perform scientific research in: machine learning, data mining, statistics, artificial intelligence, soft computing, information retrieval, information systems, and natural language processing ? preferred application areas: Equipment Health Management, Bioinformatics, Health, Web Mining ? today?s talk limited to Equipment Health Management While the aircraft is still in the air, IDS: ? clusters relevant WRN, FLR, and snag (pilot) messages ? identifies probable causes based on TSM and provide links to corresponding TSM pages ? assesses MEL conditions (GO, NOGO, GOIF, ?) ? displays relevant maintenance history, suggests fixes based on similar cases ? Commercialization with MxI Technologies Ltd and Air Canada in 2000
Citation

APA: Sylvain Létourneau  (2008)  Data Mining for Prognostic of Complex Equipment with Applications in Aerospace and Railroad

MLA: Sylvain Létourneau Data Mining for Prognostic of Complex Equipment with Applications in Aerospace and Railroad. Canadian Institute of Mining, Metallurgy and Petroleum, 2008.

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