March 2022
Volume 74    Issue 3

A discrete-event simulation and data-based framework for equipment performance evaluation in underground coal mining

Yilmaz, Enver; Erkayaoglu, Mustafa

ABSTRACT:

Coal mining is likely to sustain its critical role as energy requirements are increasing. While surface mining exploits coal seams near the surface, underground mining techniques are crucial for extracting deep coal reserves. Longwall mining is one of the most common methods used in underground coal mining operations. This paper introduces a data-based framework — including data collection, data analysis and the interpretation of operational data — for understanding the system efficiency of a longwall shearer. Operational performance is evaluated by the time between arrivals (TBA) and duration of the shearer stoppages, shearer drums’ reversal time, cutting speed and flit speed on daily production in a longwall top coal caving (LTCC) mine. A discrete event simulation model is developed to represent the bidirectional cutting sequence of a longwall shearer.

Full-text paper:
Mining, Metallurgy & Exploration (2021) 38:1877–1891, https://doi.org/10.1007/s42461-021-00455-2

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