| Download | - View accepted manuscript: Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure (PDF, 741 KiB)
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| Author | Search for: Peña, J.M.; Search for: Létourneau, Sylvain; Search for: Famili, Fazel |
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| Format | Text, Article |
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| Conference | Proceedings of the Third International Symposium on Intelligent Data Analysis, August 9-11, 1999., Amsterdam, The Netherlands |
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| Subject | intelligent data analysis |
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| Abstract | This 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. |
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| Publication date | 1999 |
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| Language | English |
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| NRC number | NRCC 41633 |
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| NPARC number | 8913629 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | d2691fce-789a-4d84-b540-b7f75badcc86 |
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| Record created | 2009-04-22 |
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| Record modified | 2020-03-20 |
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