Technological and intellectual transition to mining 4.0: A review

O Zhironkina, S Zhironkin - Energies, 2023 - mdpi.com
Ensuring a sustainable supply for humankind with mineral raw materials and preventing fuel
and energy crises, minimizing human-made accidents and the negative impact of industry …

[HTML][HTML] Adoptable approaches to predictive maintenance in mining industry: An overview

O Dayo-Olupona, B Genc, T Celik, S Bada - Resources Policy, 2023 - Elsevier
The mining industry contributes to the expansion of the global economy by generating vital
commodities. For continuous production, the industry relies significantly on machinery and …

Review of transition from mining 4.0 to 5.0 in fossil energy sources production

S Zhironkin, E Dotsenko - Energies, 2023 - mdpi.com
The problem of sustainability of energy production in the context of the expansion of
renewable energy cannot be solved without a deep technological modernization of the fossil …

Review of transition from mining 4.0 to mining 5.0 innovative technologies

S Zhironkin, N Ezdina - Applied Sciences, 2023 - mdpi.com
The sustainable provision of mankind with energy and mineral raw materials is associated
with an increase not only in industrial but also in the ecological and economic development …

Analyzing reliability and maintainability of crawler dozer BD155 transmission failure using Markov method and total productive maintenance: a novel case study for …

K Bhushan, S Chattopadhyaya, S Sharma, K Sharma… - Sustainability, 2022 - mdpi.com
Surface mining is the world's most costly industry due to its enormous expenses. Reduced
production is forcing mining companies to automate their equipment, predominantly heavy …

Current practices for preventive maintenance and expectations for predictive maintenance in East-Canadian mines

S Robatto Simard, M Gamache, P Doyon-Poulin - Mining, 2023 - mdpi.com
Preventive maintenance practices have been proven to reduce maintenance costs in many
industries. In the mining industry, preventive maintenance is the main form of maintenance …

Machine Learning Applications for Reliability Engineering: A Review

M Payette, G Abdul-Nour - Sustainability, 2023 - mdpi.com
The treatment of big data as well as the rapid improvement in the speed of data processing
are facilitated by the parallelization of computations, cloud computing as well as the …

The Efficiency of Using Machine Learning Techniques in Fiber-Reinforced-Polymer Applications in Structural Engineering

M Alhusban, M Alhusban, AA Alkhawaldeh - Sustainability, 2023 - mdpi.com
Sustainable solutions in the building construction industry have emerged as a new method
for retrofitting applications in the last two decades. Fiber-reinforced polymers (FRPs) have …

The dynamic change in the reliability function level in a selected fire alarm system during a fire

J Paś, T Klimczak, A Rosiński, M Stawowy, S Duer… - Sensors, 2024 - mdpi.com
This article discusses fundamental issues associated with the functional reliability of
selected fire alarm systems (FASs) in operation during building fires. FASs operate under …

Development of Surface Mining 4.0 in Terms of Technological Shock in Energy Transition: A Review

S Zhironkin, E Taran - Energies, 2023 - mdpi.com
The expansion of end-to-end Industry 4.0 technologies in various industries has caused a
technological shock in the mineral resource sector, wherein itsdigital maturity is lower than …