Predictive Maintenance Using IoT in Oil Refinery Operations
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References
Flichy, Philippe, and Claude Baudoin. “The Industrial IoT in Oil & Gas: Use Cases”. SPE Annual Technical Conference and Exhibition?, SPE, 2018, p. D031S032R002.
Antomarioni, Sara, et al. “Defining a Data-Driven Maintenance Policy: An Application to an Oil Refinery Plant”. International Journal of Quality & Reliability Management, vol. 36, no. 1, Emerald Publishing Limited, 2019, pp. 77–97.
Wanasinghe, Thumeera R., et al. “The Internet of Things in the Oil and Gas Industry: A Systematic Review”. IEEE Internet of Things Journal, vol. 7, no. 9, IEEE, 2020, pp. 8654–8673.
Ramesh, P. G., et al. “Implementation of Predictive Maintenance Systems in Remotely Located Process Plants under Industry 4.0 Scenario”. Advances in RAMS Engineering: In Honor of Professor Ajit Kumar Verma on His 60th Birthday, Springer, 2020, pp. 293–326.
Machado Roberty, Elias A. Predictive Analytics Applications for Oil and Gas Processing Facilities. Massachusetts Institute of Technology, 2021.
Olaizola, Igor G., et al. “Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream”. Sensors, vol. 22, no. 23, MDPI, 2022, p. 9164.
Jia, Zhiyang, et al. “IIoT-Based Predictive Maintenance for Oil and Gas Industry”. Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022, pp. 432–436.
Bramantyo, Hutama A., et al. “Data Processing for Iot in Oil and Gas Refineries”. Journal of Telecommunication Network (Jurnal Jaringan Telekomunikasi), vol. 12, no. 1, 2022, pp. 48–54.
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