Improving Sustainability in Mining Operations Through the Integration of ShovelSense® and BeltSense® Technologies for Mine-to-Mill Optimization
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38141-6_134
Reference3 articles.
1. Pamparana G, Haest M (2022) Using BeltSense® to predict the specific energy consumption of the SAG mill at Copper Mountain mine. In: Procemin-Geomet 2022. Gecamin, Santiago
2. Pourghahramani P (2012) Effects of ore characteristics on product shape properties and breakage mechanisms in industrial SAG mills. Miner Eng 32:30–37. https://doi.org/10.1016/j.mineng.2012.03.005
3. Avalos S, Kracht W, Ortiz JM (2020) An LSTM approach for SAG mill operational relative-hardness prediction. Fortschr Mineral 10:734. https://doi.org/10.3390/min10090734
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