TY - JOUR
TI - A preliminary feasibility study of a short-term prognosis of mining towers tops’ displacements with the use of artificial neural networks
AU - Dudzik, Marek
AU - Łątka, Dawid
AU - Repelewicz, Michał
AU - Stewarski, Edward
AU - Stręk, Anna
TI - A preliminary feasibility study of a short-term prognosis of mining towers tops’ displacements with the use of artificial neural networks
AB - 
	Mining industry is a key sector of many national economies, thus even a small crack in a mining site echoes nationwide. This strategic sector is subjected to special safety care in every aspect, including operational safety of engineering structures. The newest technologies are employed to diagnose and monitor the working structures and buildings. In this article we propose an innovative idea of combining GPS monitoring system with artificial neural network prognosing to build a prediction tool for displacement of mining shafts in operational conditions. The paper describes a training of a neural network system whose task is to prognose the displacements of the top of a mine shaft tower in direction in a selected period of time. The data used for the training come from the GPS monitoring of displacements of the top of the S 1.2 mining shaft tower. The tower is located in the mining works LW “Bogdanka”.
VL - 2014
IS - Budownictwo Zeszyt 5-B (19) 2014
PY - 2015
SN - 0011-4561
C1 - 2353-737X
SP - 59
EP - 64
DO - 10.4467/2353737XCT.14.337.3648
UR - https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/a-preliminary-feasibility-study-of-a-short-term-prognosis-of-mining-towers-tops-displacements-with-the-use-of-artificial-neural-networks
KW - artificial neural network
KW - artificial neural network training
KW - displacement of the top of mining shaft tower
KW - GPS monitoring