| Téléchargement | - Voir la version de l’auteur : A rail data integration and analytics system and its application to heavy haul railway (PDF, 3.1 Mio)
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| Auteur | Rechercher : Liu, Yan1; Rechercher : Dai, Chengbi1; Rechercher : Wahba, Albert1; Rechercher : Sirois, Dominique |
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| Affiliation | - Conseil national de recherches du Canada. Automobile et les transports de surface
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| Format | Texte, Article |
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| Conférence | 12th International Heavy Haul Conference (IHHA 2023) - Application of Heavy Haul Innovations for a Sustainable World, August 27-31, 2023, Rio de Janeiro, Brazil |
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| Description physique | 8 p. |
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| Résumé | With the increasing deployment of technologies such as accelerometers and other sensors on freight cars during revenue operations, the data that reflects the performance of the vehicle-track system under varying conditions becomes readily available. Recently, one of the longest demonstrations of using an instrumented wheelset (IWS) in revenue operation has been reported by the present authors, which shows that IWS technology has sufficient durability for continuous and long-term monitoring of track conditions. To overcome challenges related to the integration of the large volume of time series data collected by IWS, accelerometers and other sensors with the many other existing railway datasets that are usually collected under different conditions, the National Research Council of Canada (NRC) has developed an advanced data fusion tool called rail data integration and analytics system (RDIAS). The tool has been successfully applied to the data collected during a one-year period of track monitoring using an instrumented iron ore car in a mountainous area with heavy grades and many sharp curves. A number of successful case studies are presented to demonstrate how the RDIAS has assisted in improving the operational performance and safety of the railway system. These include identification and mitigation of high wheel climbing risks, recommendation of proper lubrication and friction management based on evidence generated by the RDIAS system, demonstration of how the system can be used to assess maintenance effectiveness, and some findings regarding unfavourable truck warping conditions. |
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| Date de publication | 2023-08-29 |
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| Maison d’édition | International Heavy Haul Association |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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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 | d9a5a4fd-5bb9-4a24-984b-9637b98d71b3 |
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| Enregistrement créé | 2025-01-31 |
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| Enregistrement modifié | 2025-09-23 |
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