DocumentCode :
232057
Title :
Chaotic characteristics extraction of coal mine gas emission system via cloud model
Author :
Song Yunzhong ; Fan Liyuan
Author_Institution :
Complex Networks Lab., Henan Polytech. Univ., Jiaozuo, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
5129
Lastpage :
5132
Abstract :
Coal mine gas emission system is a strong nonlinear chaotic system changing over time and space together with many uncertain factors, how to dig up the chaotic characteristic from the gas emission time series more accurately, which will be of great significance to prevent the gas disasters and accidents. From the perspective of chaotic dynamics, this paper is based on the gas concentration time series in the mine working face with the help of cloud model to simulate the time series data uncertainty analysis, finally calculate the maximum Lyapunov index, preliminarily proves that there is chaotic characteristic in the working face gas emission system.
Keywords :
Lyapunov methods; accidents; chaos; mining; nonlinear control systems; time series; accidents; chaotic characteristics extraction; chaotic dynamics; cloud model; coal mine gas emission system; gas concentration time series; gas disasters; gas emission time series; maximum Lyapunov index; mine working face; nonlinear chaotic system; time series data uncertainty analysis; working face gas emission system; Chaos; Coal mining; Educational institutions; Electronic mail; Face; Proteins; Time series analysis; Chaotic characteristics; Cloud model; Gas emission; Time series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6895813
Filename :
6895813
Link To Document :
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