| Téléchargement | - Voir le manuscrit accepté : Developing data mining-based prognostic models for CF-18 aircraft (PDF, 644 Kio)
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| DOI | Trouver le DOI : https://doi.org/10.1115/GT2010-22944 |
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| Auteur | Rechercher : Zaluski, Marvin1; Rechercher : Létourneau, Sylvain1; Rechercher : Bird, Jeffrey W (Jeff)1; Rechercher : Yang, Chunsheng1 |
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| Affiliation | - Conseil national de recherches du Canada
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| Format | Texte, Article |
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| Conférence | ASME Turbo Expo 2010: Power for Land, Sea and Air, June 14-18, 2010, Glasgow, UK |
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| Sujet | Information and communications technologies |
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| Résumé | The CF-18 aircraft is a complex system for which a variety of data are systematically being recorded: operational flight data from sensors and Built-In Test Equipment (BITE) and maintenance activities recorded by personnel. These data resources are stored and used within the operating organization but new analytical and statistical techniques and tools are being developed that could be applied to these data to benefit the organization. This paper investigates the utility of readily available CF-18 data to develop data mining-based models for prognostics and health management (PHM) systems. We introduce a generic data mining methodology developed to build prognostic models from operational and maintenance data and elaborate on challenges specific to the use of CF-18 data from the Canadian Forces. We focus on a number of key data mining tasks including: data gathering, information fusion, data pre-processing, model building, and evaluation. The solutions developed to address these tasks are described. A software tool developed to automate the model development process is also presented. Finally, the paper discusses preliminary results on the creation of models to predict F404 No. 4 Bearing and MFC (Main Fuel Control) failures on the CF-18. |
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| Date de publication | 2010 |
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| Maison d’édition | ASME |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 15295301 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | d917439a-e8cb-4b1b-aa2b-f4075308fb2e |
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| Enregistrement créé | 2010-06-10 |
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| Enregistrement modifié | 2020-04-17 |
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