A Domain Independent Data Mining Methodology for Prognostics

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TypeArticle
Proceedings titleEssential technologies for successful prognostics : proceedings of the 59th Meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, Virginia, April 18-21, 2005
Conference59th Meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, Virginia, USA, April 18-21, 2005
Subjectdata mining; aircraft health monitoring; train wheel monitoring; component failure prediction; surveillance de l'état des aéronefs; surveillances de roues de train; prédiction de la défaillance des composantes
Abstract
Publication date
PublisherSociety for Machinery Failure Prevention Technology (MFPT)
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48123
NPARC number5763670
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Record identifierad0b4d1d-61d9-45d6-87f0-89abe96e6b1f
Record created2009-03-29
Record modified2016-05-09
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