Driving Port Efficiency Through 5G-Enabled Condition Monitoring of Quay Cranes
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-25448-2_16
Reference21 articles.
1. Al Awar, K., Alawani, M., Al Jaberi, S.: A multi-vessel quay crane scheduling problem. In: 7th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1–5 (2016). https://doi.org/10.1109/IISA.2016.7785354
2. Bartošek, A., Marek, O.: Quay cranes in container terminals. Trans. Transp. Sci. 6(1) (2013). https://doi.org/10.2478/v10158-012-0027
3. Guillén, A., Crespo, A., Gómez, J., Sanz, M.: A framework for effective management of condition based maintenance programs in the context of industrial development of E-maintenance strategies. Comput. Ind. 82, 170–185 (2016). ISSN 0166-3615, https://doi.org/10.1016/j.compind.2016.07.003
4. Herrera Fernandez, M., Sasidharan, M., Merino, J., Parlikad, A.: Handling irregularly sampled IoT time series to inform infrastructure asset management (2022). https://doi.org/10.17863/CAM.83951
5. ISO 17359:2018: Condition monitoring and diagnostics of machines. General guidelines (2018). www.iso.org/standard/71194.html
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