| DOI | Trouver le DOI : https://doi.org/10.1007/978-3-319-07455-9_21 |
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| Auteur | Rechercher : Yang, Chunsheng1; Rechercher : Lou, Qingfeng; Rechercher : Liu, Jie; Rechercher : Yang, Yubin; Rechercher : Bai, Yun |
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| Affiliation | - Conseil national de recherches du Canada
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| Format | Texte, Chapitre de livre |
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| Conférence | 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2014), June 3-6, 2014, Kaohsiung, Taiwan |
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| Sujet | intelligent systems; machinery; maintenance; Monte Carlo methods; systems engineering; APU starter prognostics; condition-based maintenance (CBM); data-driven prognostics; particle filter (PF); remaining useful cycle (RUC); auxiliary power systems |
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| Résumé | Particle filter (PF)-based method has been widely used for machinery condition-based maintenance (CBM), in particular, for prognostics. It is employed to update the nonlinear prediction model for forecasting system states. In this work, we applied PF techniques to Auxiliary Power Unit (APU) prognostics for estimating remaining useful cycle to effectively perform APU health management. After introducing the PF-based prognostic method and algorithms, the paper presents the implementation for APU Starter prognostics along with the experimental results. The results demonstrated that the developed PF-based method is useful for estimating remaining useful cycle for a given failure of a component or a subsystem. |
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| Date de publication | 2014 |
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| Maison d’édition | Springer International Publishing |
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| Dans | |
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| Série | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 21272785 |
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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 | 9e96282c-ed22-4ec2-b2dd-114de197bf15 |
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| Enregistrement créé | 2014-12-03 |
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| Enregistrement modifié | 2020-06-18 |
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