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Prediction Method of Mine Gas Emission Based on Time Series

Authors :
MENG Hai-dong
SUN Bo
SI Zi-wen
WANG Rui-zhi
SHI Lan-la
Source :
Gong-kuang zidonghua, Vol 36, Iss 12, Pp 24-27 (2010)
Publication Year :
2010
Publisher :
Editorial Department of Industry and Mine Automation, 2010.

Abstract

Because change of mine gas concentration is influenced by various factors, so prediction of mine gas emission ca't get some variables. To solve the problem, the paper proposed a prediction method of mine gas emission based on time series. It introduced implementation of using AR model of time series to predict mine gas emission in details. The experiment result showed that error rate of prediction for mine gas emission with the method was 4.3% and the prediction is reliable.

Details

Language :
Chinese
ISSN :
1671251X
Volume :
36
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Gong-kuang zidonghua
Publication Type :
Academic Journal
Accession number :
edsdoj.4aa2f4eadd05486dafb156d205b465b9
Document Type :
article