SMART MINING: JOINT MODEL FOR PARAMETRIZATION OF COAL EXCAVATION PROCESS BASED ON ARTIFICIAL NEURAL NETWORKS
In the present paper we propose a new artificial neural network model for the estimation of coal cutting resistance and excavator performance as a nonlinear relationship between the examined input (excavator movement angle in the left and right direction, slice height and thickness, coal unit weight, compressive and shear strength) and output facto...
By Trivan Jelena, Srđan Kostić
RISK MANAGEMENT ON MEDJEDJA DAM ON TAILING STORAGE FACILITY, OMARSKA MINE PRIJEDOR
Dams and tailing storage facilities are specific mining facilities that carry many potential hazards, and therefore risks. In this paper, for tailing mud damMedjedja andtailing storage facilityof the Omarska Mine near Prijedor, on the basis of the current state of the dam, past events, visual observations and specialist measurements, we have analys...
By Lazar Stojanovic, Ljubica Figun, Jelena Trivan
THE PHYSICAL-MECHANICAL CHARACTERISTICS OF COAL SEAMS OF IMMEDIATE FLOOR AND ROOF INFLUENCES ON THE CHOICE OF EXCAVATION SYSTEM IN THE COAL DEPOSITS IN SERBIA
The physical and mechanical characteristics of coal seams, immediate floor and roof significantly influence to the choice of systems (the methods and technologies) of coal underground exploitation, and in this paper, their grouping and sorting by importance for the conditions of active underground mines in Serbia was carried out. The research is ba...
By Jelena Trivan, Dražena Tošić, Vladimir Todorović
DIMENSIONING SPECIFICS OF THE PRODUCTION CAPACITY OF UNDERGROUND COAL MINES IN SERBIA
Sizing the production capacity of underground coal mines is an extremely complex task with a number of specifics that must be taken into account when designing the mines. The main factors are the specific natural-geological conditions of the deposit, which determine the application of an adequate excavation system followed by organizational factors...
By Vladimir Todorović, Dražana Tošić, Jelena Trivan