Detecting of Coal Gas Weak Signals Using Lyapunov Exponent Under Strong Noise Background

被引：0
|
作者：
Ma Xian-Min [1 ]
机构：
[1] Xian Univ Sci & Technol, Coll Elect & Control Engn, Xian 710054, Peoples R China
来源：
2013 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM DESIGN AND ENGINEERING APPLICATIONS (ISDEA) | 2013年
关键词：
Coal gas; weak signals; coal mine underground; Lyapunov exponent; Duffing chaotic oscillator;
D O I：
10.1109/ISDEA.2012.142
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In coal gas monitoring system, the early detecting of gas concentration is key technique for preventing the gas explosion because the coal gas signals are very weak under strong noise background in mining digging laneway. In this paper, the coal gas chaotic characteristics of the mine underground are analyzed, the Lyapunov exponent is used to judge the chaotic characteristic of gas weak signal as the criteria for chaos. The principle using the Lyapunov exponent for the detecting gas weak signals based on chaos theory is presented, and the model of Duffing chaotic oscillator for the coal gas monitoring system is established. The phase space of chaotic time series of coal gas is reconstructed. Threshold value of coal gas chaos detection system is determined based on Lyapunov exponent. Simulation results verify the validity of this method for early detecting weak coal gas signals under strong noise background in the coal gas concentration monitoring system.
引用
收藏
页码：583 / 586
页数：4
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