Mining system logs to learn error predictors: a case study of a telemetry system

2014 ◽  
Vol 20 (4) ◽  
pp. 879-927 ◽  
Author(s):  
Barbara Russo ◽  
Giancarlo Succi ◽  
Witold Pedrycz
2019 ◽  
Vol 7 (1) ◽  
pp. 164-181 ◽  
Author(s):  
Kesavan Muniappen ◽  
Bekir Genc

AbstractDynamic simulations are powerful tools, but only if they are developed using the correct methodology, and with information that has been verified. Mining houses rely on simulation to confirm that complex, integrated systems can achieve design capacity before investment decisions are made. Work conducted in the realm of validation can make an invaluable contribution to the success of future projects undertaken around the world. Coal mine a life of mine extension project was approved for implementation when export coal prices were on the low end of the price cycle. The dynamic simulation of the full materials handling value chain conducted during the project feasibility study in 2016 was of utmost importance and provided assurance to the project review team that annual production targets can be achieved. The simulation development methodology was based on a unique approach that reduced time spent on the simulation. Upon completion of project construction and commissioning in 2018, it was essential to validate the simulation, which could lead to the adoption of this approach on future projects. This paper explains the steps taken to validate the dynamic simulation. This case study confirmed that dynamic simulation can add value and predict mining system performance, such that informed decisions can be made.


Resources ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 138
Author(s):  
Zbigniew Rak ◽  
Jerzy Stasica ◽  
Zbigniew Burtan ◽  
Dariusz Chlebowski

This paper presents our experience obtained when mining the thick and steeply-inclined Seam 510 in the Polish Kazimierz-Juliusz coal mine with the use of a unique mechanical face mining system. Seam 510, which is 15–20 m thick and inclined at angles of 40°–45°, was initially treated as uneconomical because effective mining systems were not available. However, to extract high-quality coal resources, a completely mechanized variant of the sublevel caving system was designed based on standard machines and equipment applied in coal mining. Extraction was conducted top-down at the levels of the particular mining sub-level drifts with roof caving. The faces in the extracted coal release areas were protected by a single pair of specially designed mechanized mining system sections. One of the basic problems revealed during extraction of subsequent mining panels, was the observed changeability of the resource mining rates. The extraction losses changed in the available resources from less than 10% to about 50%. This paper presents two typical courses of changes in the extractable resource mining rates. Similar rate changes occurred in both cases with continued mining of a single seam section. Our analysis enabled deposit loss estimations and production output planning under the sublevel caving systems applied in the extraction of seam deposits of similar structure.


Author(s):  
CHUNMING DUAN ◽  
ERTUGRUL TOPUZ

This paper presents a systematic approach to evaluation of the availability of an automated underground coal mining system, the longwall system. Five analytical models are developed by applying the techniques of reliability modeling and stochastic systems analysis. Each model is formulated to evaluate the availability of a longwall system with unique longwall operating logic. The application of these models is illustrated with a case study and the uses of the results are discussed.


Author(s):  
Geraldo Cardoso de Oliveira Neto ◽  
Ivanir Costa ◽  
Washington Carvalho de Sousa ◽  
Marlene Paula Castro Amorim ◽  
Moacir Godinho Filho

2020 ◽  
pp. 25-36
Author(s):  
Uglješa Bugarić ◽  
Miloš Tanasijević ◽  
Miljan Gomilanović ◽  
Andrija Petrović ◽  
Miloš Ilić

Rotary excavators as the basic machines at the open pits of lignite operate in very difficult working conditions, where they are constantly expected to be highly productive, reliable, available and safe as the production carriers. Determining the availability as well as the duration and number of failures using the analytical methods allows to analyze the key influencing factors on their occurrence and values of these parameters and to determine the essential elements of system maintenance and management in order to optimize them.


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