Gate Road Support Deformation Forecasting Based on Multivariate Singular Spectrum Analysis and Fuzzy Time Series
Објеката
- Тип
- Рад у часопису
- Верзија рада
- објављена верзија
- Језик
- енглески
- Креатор
- Luka Crnogorac, Rade Tokalić, Zoran Gligorić, Aleksandar Milutinović, Suzana Lutovac, Aleksandar Ganić
- Извор
- Energies
- Издавач
- MDPI
- Датум издавања
- 2021
- Сажетак
- 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).
- том
- 14
- Број
- 12
- почетак странице
- 3710
- issn
- 1996-1073
- Subject
- deformacije podgrade, lasersko skeniranje, višekanalna singularna spektralna analiza, prognoza, klasterisanje fuzzy vremenskih serija
- support deformation, laser scanning; multivariate singular spectrum analysis, forecasting, fuzzy time series clusters
- Шира категорија рада
- M20
- Ужа категорија рада
- М22
- Права
- Отворени приступ
- Лиценца
- All rights reserved
- Формат
- Медија
energies-14-03710-v2.pdf
Luka Crnogorac, Rade Tokalić, Zoran Gligorić, Aleksandar Milutinović, Suzana Lutovac, Aleksandar Ganić. "Gate Road Support Deformation Forecasting Based on Multivariate Singular Spectrum Analysis and Fuzzy Time Series" in Energies, MDPI (2021). https://doi.org/https://doi.org/10.3390/en14123710
This item was submitted on 15. октобар 2021. by [anonymous user] using the form “Рад у часопису” on the site “Радови”: http://gabp-dl.rgf.rs/s/repo
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