Gate Road Support Deformation Forecasting Based on Multivariate Singular Spectrum Analysis and Fuzzy Time Series

Autor: Rade Tokalić, Zoran Gligorić, Aleksandar Ganić, Luka Crnogorac, Aleksandar Milutinovic, Suzana Lutovac
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Multivariate statistics
Technology
Control and Optimization
deformacije podgrade
Computer science
020209 energy
lasersko skeniranje
0211 other engineering and technologies
Underground mining (hard rock)
Energy Engineering and Power Technology
Time horizon
forecasting
02 engineering and technology
Deformation (meteorology)
multivariate singular spectrum analysis
support deformation
laser scanning
fuzzy time series clusters
Fuzzy logic
prognoza
Deformation monitoring
0202 electrical engineering
electronic engineering
information engineering
Electrical and Electronic Engineering
Engineering (miscellaneous)
Singular spectrum analysis
021106 design practice & management
Data processing
Renewable Energy
Sustainability and the Environment
klasterisanje fuzzy vremenskih serija
Industrial engineering
višekanalna singularna spektralna analiza
Energy (miscellaneous)
Zdroj: Energies; Volume 14; Issue 12; Pages: 3710
Energies, Vol 14, Iss 3710, p 3710 (2021)
Energies
ISSN: 1996-1073
DOI: 10.3390/en14123710
Popis: 12 3710 14 M20 М22 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).
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje