Predictive asset availability optimization for underground trucks and loaders in the mining industry
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DOI: 10.1007/s12597-020-00502-4
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- G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
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- Dayo-Olupona, Oluwatobi & Genc, Bekir & Celik, Turgay & Bada, Samson, 2023. "Adoptable approaches to predictive maintenance in mining industry: An overview," Resources Policy, Elsevier, vol. 86(PA).
- Chimunhu, Prosper & Topal, Erkan & Ajak, Ajak Duany & Asad, Waqar, 2022. "A review of machine learning applications for underground mine planning and scheduling," Resources Policy, Elsevier, vol. 77(C).
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Keywords
Predictive asset availability optimization (PAAO); Predictive maintenance; Mining; Industry 4.0; Machine learning; Modelling; CHAID; RUL; Feature engineering; Model interpretability;All these keywords.
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