Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure

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TypeArticle
ConferenceProceedings of the Third International Symposium on Intelligent Data Analysis, August 9-11, 1999., Amsterdam, The Netherlands
Subjectintelligent data analysis
AbstractThis paper presents application of Rough Set algorithms to prediction of component failures in aerospace domain. To achieve this we first introduce a data preprocessing approach that consists of case selection, data labeling and attribute reduction. We also introduce a weight function to represent the importance of predictions as a function of time before the actual failure. We then build several models using rough set algorithms and reduce these models through a postprocessing phase. End results for failure prediction of a specific aircraft component are presented.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number41633
NPARC number8913629
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Record identifierd2691fce-789a-4d84-b540-b7f75badcc86
Record created2009-04-22
Record modified2016-05-09
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