| DOI | Trouver le DOI : https://doi.org/10.1007/978-3-319-19066-2_7 |
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| Auteur | Rechercher : García, Claudia Maria; Rechercher : Zou, Yanni; Rechercher : Yang, Chunsheng1 |
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| Affiliation | - Conseil national de recherches Canada
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| Format | Texte, Chapitre de livre |
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| Conférence | 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2015), June 10-12, 2015, Seoul, South Korea |
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| Résumé | Predictive maintenance is an emerging technology which aims at increasing availability of systems, reducing maintenance cost, and ensuring the safety of systems. There exist two main issues in predictive maintenance. The first challenge is the system operation region definition, detection and modelling; and another one is estimation of the remaining useful life (RUL). To address these issues, this paper proposes a particle filter (PF)-based model fusion approach for estimating RUL by classifying the system states into different operation regions in which a data-driven model is developed to estimate RUL corresponding to each region, and combined with PF-based fusion algorithm. This paper reports the proposed approach along with some preliminary results obtained from a case study. |
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| Date de publication | 2015-05-01 |
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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 | 21276907 |
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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 | ff31b0ff-9218-4390-a0a1-b6ea775dad96 |
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| Enregistrement créé | 2015-11-10 |
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| Enregistrement modifié | 2020-06-11 |
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