A preliminary feasibility study of a short-term prognosis of mining towers tops’ displacements with the use of artificial neural networks
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RIS BIB ENDNOTEA preliminary feasibility study of a short-term prognosis of mining towers tops’ displacements with the use of artificial neural networks
Publication date: 11.02.2015
Technical Transactions, 2014, Civil Engineering Issue 5-B (19) 2014 , pp. 59 - 64
https://doi.org/10.4467/2353737XCT.14.337.3648Authors
A preliminary feasibility study of a short-term prognosis of mining towers tops’ displacements with the use of artificial neural networks
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”.
Tajduś A., Stewarski E., Monitoring satelitarny GPS mikroprzemieszczeń szczytów wież szybowych w kopalni LWBogdanka (Komunikat), Bezpieczeństwo Pracy i Ochrona Środowiska w Górnictwie, vol. 1, 2013, 26-30.
Kobielski A., Drapik S., Dudzik M., Prusak J., Wstępne studium efektywności zastosowania sieci neuronowych w badaniach obciążeń kolejowych podstacji trakcyjnych, XIV Konferencja naukowa Jakość, Bezpieczeństwo, Ekologia w Transporcie QSET 2013, 05–07 czerwca 2013 Niepołomice, Politechnika Krakowska Wydział Mechaniczny, Instytut Pojazdów Szynowych.
Mathworks: http://www.mathworks.com/help/nnet/gs/time-series-prediction.html.
Kosek W., Metody Analiz Widmowych, Filtracji i Prognozowania, Centrum Badań Kosmicznych PAN, Bartycka 18A, 00-716 Warszawa, http://www.cbk.waw.pl/~kosek/tsa/wyklad3.html.
Information: Technical Transactions, 2014, Civil Engineering Issue 5-B (19) 2014 , pp. 59 - 64
Article type: Original article
Titles:
A preliminary feasibility study of a short-term prognosis of mining towers tops’ displacements with the use of artificial neural networks
A preliminary feasibility study of a short-term prognosis of mining towers tops’ displacements with the use of artificial neural networks
Faculty of Electrical and Computer Engineering, Cracow University of Technology
Institute of Building Materials and Structures, Faculty of Civil Engineering, Cracow University of Technology
Institute of Building Materials and Structures, Faculty of Civil Engineering, Cracow University of Technology
AGH University of Science and Technology, Faculty of Mining and Geoengineering, Department of Geomechanics, Civil Engineering and Geotechnics
AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Department of Process Control
Published at: 11.02.2015
Article status: Open
Licence: None
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