Application of artificial intelligence and machine learning in expert systems for the mining industry: modern methods and technologies

The mining industry has changed significantly in recent decades with the introduction of advanced technologies such as artificial intelligence (AI) and machine learning (ML). These innovations contribute to the creation of expert systems that help in optimizing processes, increasing the safety and sustainability of operations. This article is a literature review of modern AI and ML methods and technologies used in the mining industry. Discusses various intelligent and expert systems used to improve productivity, reduce operating costs, improve occupational safety, environmental sustainability, machine automation, predictive analytics, quality monitoring and control, and inventory and logistics management. The advantages and disadvantages of different approaches are analyzed, as well as their potential impact on the future of the mining industry. The review highlights the importance of integrating AI and ML into mining processes to achieve more efficient and safer solutions.

Authors

Publication Details

Journal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Published
2025-05-23
DOI
https://doi.org/10.11591/ijece.v15i3.pp3291-3308
Citations
1
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
1.21
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article

Application of artificial intelligence and machine learning in expert systems for the mining industry: modern methods and technologies

A. A. Kalinin, Nadezhda Tomilova, Margulan Nurtay, Natalya Mutovina et al.
1 citations
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Mining Techniques and Economics
1.21
article

Application of artificial intelligence and machine learning in expert systems for the mining industry: modern methods and technologies

A. A. Kalinin, Nadezhda Tomilova, Margulan Nurtay, Natalya Mutovina, Aleksandr Tomilov
article en
1 citations

Abstract

The mining industry has changed significantly in recent decades with the introduction of advanced technologies such as artificial intelligence (AI) and machine learning (ML). These innovations contribute to the creation of expert systems that help in optimizing processes, increasing the safety and sustainability of operations. This article is a literature review of modern AI and ML methods and technologies used in the mining industry. Discusses various intelligent and expert systems used to improve productivity, reduce operating costs, improve occupational safety, environmental sustainability, machine automation, predictive analytics, quality monitoring and control, and inventory and logistics management. The advantages and disadvantages of different approaches are analyzed, as well as their potential impact on the future of the mining industry. The review highlights the importance of integrating AI and ML into mining processes to achieve more efficient and safer solutions.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringVol. 15(3)
Openalex Percentile: Top 21%
Mining Techniques and Economics
1.21
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