LAPSE:2023.33145
Published Article

LAPSE:2023.33145
Gate Road Support Deformation Forecasting Based on Multivariate Singular Spectrum Analysis and Fuzzy Time Series
April 20, 2023
Abstract
Underground mining engineers and planners in our country are faced with extremely difficult working conditions and a continuous shortage of money. Production disruptions are frequent and can sometimes last more than a week. During this time, gate road support is additionally exposed to rock stress and the result is its progressive deformation and the loss of functionality of gate roads. In such an environment, it is necessary to develop a low-cost methodology to maintain a gate road support system. For this purpose, we have developed a model consisting of two main phases. The first phase is related to support deformation monitoring, while the second phase is related to data analysis. To record support deformations over a defined time horizon we use laser scanning technology together with multivariate singular spectrum analysis to conduct data processing and forecasting. Fuzzy time series is applied to classify the intensity of displacements into several independent groups (clusters).
Underground mining engineers and planners in our country are faced with extremely difficult working conditions and a continuous shortage of money. Production disruptions are frequent and can sometimes last more than a week. During this time, gate road support is additionally exposed to rock stress and the result is its progressive deformation and the loss of functionality of gate roads. In such an environment, it is necessary to develop a low-cost methodology to maintain a gate road support system. For this purpose, we have developed a model consisting of two main phases. The first phase is related to support deformation monitoring, while the second phase is related to data analysis. To record support deformations over a defined time horizon we use laser scanning technology together with multivariate singular spectrum analysis to conduct data processing and forecasting. Fuzzy time series is applied to classify the intensity of displacements into several independent groups (clusters).
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Keywords
forecasting, fuzzy time series clusters, laser scanning, multivariate singular spectrum analysis, support deformation
Subject
Suggested Citation
Crnogorac L, Tokalić R, Gligorić Z, Milutinović A, Lutovac S, Ganić A. Gate Road Support Deformation Forecasting Based on Multivariate Singular Spectrum Analysis and Fuzzy Time Series. (2023). LAPSE:2023.33145
Author Affiliations
Crnogorac L: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Tokalić R: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Gligorić Z: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia [ORCID]
Milutinović A: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Lutovac S: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia [ORCID]
Ganić A: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Tokalić R: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Gligorić Z: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia [ORCID]
Milutinović A: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Lutovac S: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia [ORCID]
Ganić A: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Journal Name
Energies
Volume
14
Issue
12
First Page
3710
Year
2021
Publication Date
2021-06-21
ISSN
1996-1073
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Original Submission
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PII: en14123710, Publication Type: Journal Article
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LAPSE:2023.33145
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https://doi.org/10.3390/en14123710
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[v1] (Original Submission)
Apr 20, 2023
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