The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform

Yu Zhang - One of the best experts on this subject based on the ideXlab platform.

  • ICIC (2) - Research of detecting mixed flammable gases with a single catalytic sensor based on RBF neural network
    Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2012
    Co-Authors: Yu Zhang
    Abstract:

    Utilizing the variation in the detection sensitivity of the catalytic sensor under different temperatures, a new method of analyzing inflammable gases with a single catalytic sensor based on thermostatic detection and RBF neural network theory is proposed. A mathematical model of analyzing different inflammable gases is constructed based on dynamic learning algorithm. Experiments were carried out with sample mixed gases of Firedamp, carbon monoxide and hydrogen. The results show that the mixed inflammable gases can be effectively analyzed by the single catalytic sensor.

  • research of detecting mixed flammable gases with a single catalytic sensor based on rbf neural network
    International Conference on Intelligent Computing, 2011
    Co-Authors: Yu Zhang
    Abstract:

    Utilizing the variation in the detection sensitivity of the catalytic sensor under different temperatures, a new method of analyzing inflammable gases with a single catalytic sensor based on thermostatic detection and RBF neural network theory is proposed. A mathematical model of analyzing different inflammable gases is constructed based on dynamic learning algorithm. Experiments were carried out with sample mixed gases of Firedamp, carbon monoxide and hydrogen. The results show that the mixed inflammable gases can be effectively analyzed by the single catalytic sensor.

  • ICIC (2) - Analysis of mixed inflammable gases based on single sensor and RBF neural network
    Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
    Co-Authors: Yu Zhang
    Abstract:

    The sensitivity of a catalytic sensor changes according to different types of gases or different temperatures. To fully exploit this property, a sensor can be controlled to work under different temperatures to produce different output signals for a given mixture of inflammable gases. An Radial Basis Function (RBF) neural network can be used to analyze the mixture of gases by using a dynamic learning algorithm. The simulation experiment, with a sample mixture of Firedamp, carbon monoxide and hydrogen, shows that the proposed method is indeed efficient in analyzing mixtures of inflammable gases.

Dietrich Hugo Welte - One of the best experts on this subject based on the ideXlab platform.

  • Does coal mining induce methane emissions through the lithosphere/atmosphere boundary in the Ruhr Basin, Germany?
    Journal of Geochemical Exploration, 2001
    Co-Authors: Thomas Thielemann, Bernhard M. Krooss, Ralf Littke, Dietrich Hugo Welte
    Abstract:

    Abstract Underground coal mining is associated with the release of substantial quantities of coal bed methane. While the quantities of methane released from mine shafts are well known, little information is available about the extent of direct Firedamp emissions across the earth's surface. On some farm lands, inflammable Firedamp escapes have been reported to persist for more than 30 years. These incidents are restricted to hard coal mining areas in the Ruhr Basin and may indicate a causal link between underground coal panels and Firedamp surface emissions. To investigate this, a study was initiated in which the emission and consumption rates for methane at the lithosphere/atmosphere boundary were measured using flux chambers. Only emission sites are presented here. As a result, methane emissions were traced not only inside coal mining regions, but for the first time outside the area of mining activities alongside natural normal faults also. The methane release at these faults was found to be correlated negatively to the atmospheric pressure. Furthermore, gas permeabilities for different rock units were calculated from hydraulic conductivities of these rocks and fluid characteristics. They allow the determination of the range of methane emissions possible through different rock units. Having compared these theoretical emission rates with the observed ones, the reason for some of the emission points might be natural, but others can be explained only by underground coal mining, disrupting the rock fabric, increasing the permeabilities and hence giving way to Firedamp emissions.

Thomas Thielemann - One of the best experts on this subject based on the ideXlab platform.

  • Does coal mining induce methane emissions through the lithosphere/atmosphere boundary in the Ruhr Basin, Germany?
    Journal of Geochemical Exploration, 2001
    Co-Authors: Thomas Thielemann, Bernhard M. Krooss, Ralf Littke, Dietrich Hugo Welte
    Abstract:

    Abstract Underground coal mining is associated with the release of substantial quantities of coal bed methane. While the quantities of methane released from mine shafts are well known, little information is available about the extent of direct Firedamp emissions across the earth's surface. On some farm lands, inflammable Firedamp escapes have been reported to persist for more than 30 years. These incidents are restricted to hard coal mining areas in the Ruhr Basin and may indicate a causal link between underground coal panels and Firedamp surface emissions. To investigate this, a study was initiated in which the emission and consumption rates for methane at the lithosphere/atmosphere boundary were measured using flux chambers. Only emission sites are presented here. As a result, methane emissions were traced not only inside coal mining regions, but for the first time outside the area of mining activities alongside natural normal faults also. The methane release at these faults was found to be correlated negatively to the atmospheric pressure. Furthermore, gas permeabilities for different rock units were calculated from hydraulic conductivities of these rocks and fluid characteristics. They allow the determination of the range of methane emissions possible through different rock units. Having compared these theoretical emission rates with the observed ones, the reason for some of the emission points might be natural, but others can be explained only by underground coal mining, disrupting the rock fabric, increasing the permeabilities and hence giving way to Firedamp emissions.

Tong Minming - One of the best experts on this subject based on the ideXlab platform.

Ming Zou - One of the best experts on this subject based on the ideXlab platform.

  • Research on mechanism of quantity discharge of Firedamp from coal drift of headwork surface reflect coal and gas outburst
    International Journal of Hydrogen Energy, 2017
    Co-Authors: Zu-yun Chen, Zhu-xin Xiao, Ming Zou
    Abstract:

    Abstract The flow of gas in the coal bed is an extremely complex process, and the quantity of gas emission is mainly affected by both gas pressure in coal seam and permeability coefficient of coal seam. The influence factors of quantity discharge of Firedamp from coal drift of headwork surface are analyzed, and the characteristics of discharge of Firedamp from coal drift of headwork surface are closely related to the factors such as geological structure, gas content, gas pressure and permeability of coal seam. Not only the mathematical and physical model of one-way fluxion of discharge of Firedamp from coal drift of headwork surface is established, but also the calculation formula of the quantity discharge of Firedamp from coal drift is obtained by applying of variable separation method. According to the formula, the stagnation movement, which is among coal unloading pressure zone of stress, the stress concentration zone and original stress zone stress stagnation and the Firedamp package of phenomenon, is analyzed in the coal and gas outburst mine. While the gas permeability of coal seam correspondingly changes variation, the quantity gas discharge also has the corresponding dynamic change. The results show that when the coal body in front of coal drift is in a non equilibrium state in the interaction among the horizontal crustal stress by gravity, gas pressure and mechanical properties of the coal, there is a risk of coal and gas outburst.