论文摘要
As air descends the intake shaft, its infrastructure, lining and the strata will emit heat during the night when the intake air is cool and, on the contrary, will absorb heat during the day when the temperature of the air becomes greater than that of the strata. This cyclic phenomenon, also known as the "thermal damping effect" will continue throughout the year reducing the effect of surface air temperature variation. The objective of this paper is to quantify the thermal damping effect in vertical underground airways. A nonlinear autoregressive time series with external input（NARX） algorithm was used as a novel method to predict the dry-bulb temperature（Td） at the bottom of intake shafts as a function of surface air temperature. Analyses demonstrated that the artificial neural network（ANN） model could accurately predict the temperature at the bottom of a shaft. Furthermore, an attempt was made to quantify typical "damping coefficient" for both production and ventilation shafts through simple linear regression models. Comparisons between the collected climatic data and the regression-based predictions show that a simple linear regression model provides an acceptable accuracy when predicting the Tdat the bottom of intake shafts.
论文目录
文章来源
类型: 期刊论文
作者: Pedram Roghanchi,Karoly C.Kocsis
来源: International Journal of Mining Science and Technology 2019年02期
年度: 2019
分类: 工程科技Ⅰ辑
专业: 矿业工程,安全科学与灾害防治
单位: Mineral Engineering Derpartment, New Mexico Institute of Mining and Technology,Mining Engineering Derpartment, University of Nevada
基金: funded by National Institute for Occupational Safety and Health (NIOSH) (No. 2014-N-15795,2014)
分类号: TD72
页码: 255-262
总页数: 8
文件大小: 403K
下载量: 18
相关论文文献
- [1].Goodness-of-fit tests for vector autoregressive models in time series[J]. Science in China(Series A:Mathematics) 2010(01)
- [2].DEPENDENCE ANALYSIS OF REGRESSION MODELS IN TIME SERIES[J]. Journal of Systems Science & Complexity 2012(06)
- [3].Gearbox Deterioration Detection under Steady State,Variable Load, and Variable Speed Conditions[J]. Chinese Journal of Mechanical Engineering 2009(02)
- [4].Prediction of earth rotation parameters based on improved weighted least squares and autoregressive model[J]. Geodesy and Geodynamics 2012(03)
- [5].Parsimonious Mean-Covariance Modeling for Longitudinal Data with ARMA Errors[J]. Journal of Systems Science & Complexity 2019(06)
- [6].Latent ancestral graph of structure vector autoregressive models[J]. Journal of Systems Engineering and Electronics 2010(02)
- [7].Modeling Microibril Angle with Mixed Models for Dahurian Larch[J]. Chinese Forestry Science and Technology 2012(03)
- [8].Modified switched IMM estimator based on autoregressive extended Viterbi method for maneuvering target tracking[J]. Journal of Systems Engineering and Electronics 2018(06)
- [9].Monitoring Distributional Changes in Autoregressive Models Based on Weighted Empirical Process of Residuals[J]. Journal of Mathematical Research with Applications 2015(03)
- [10].A Note on Parameter Estimations of Panel Vector Autoregressive Models with Intercorrelation[J]. Acta Mathematicae Applicatae Sinica 2009(02)
- [11].Integrated Statistical and Engineering Process Control Based on Smooth Transition Autoregressive Model[J]. Transactions of Tianjin University 2013(02)
- [12].Some Properties of Periodogram of Autoregressive Integrated Moving Average Process[J]. Journal of Southwest Jiaotong University(English Edition) 2008(04)
- [13].2009年第25卷第2期摘要(英文)[J]. 应用数学学报 2009(02)
- [14].Damage Localization of Marine Risers Using Time Series of Vibration Signals[J]. Journal of Ocean University of China 2014(05)
- [15].Empirical likelihood for first-order mixed integer-valued autoregressive model[J]. Applied Mathematics:A Journal of Chinese Universities 2018(03)
- [16].Wind power forecasting based on outlier smooth transition autoregressive GARCH model[J]. Journal of Modern Power Systems and Clean Energy 2018(03)
- [17].FUNCTIONAL COEFFICIENT AUTOREGRESSIVE CONDITIONAL ROOT MODEL[J]. Journal of Systems Science & Complexity 2012(05)
- [18].基于R语言自回归积分移动平均模型在长沙市三带喙库蚊密度预测中的应用[J]. 医学动物防制 2020(03)
- [19].Modified Testing for Structural Changes in Autoregressive Processes[J]. 数学研究与评论 2011(01)
- [20].Biclustering of ARMA time series[J]. Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2010(12)
- [21].An autoregressive integrated moving average model for short-term prediction of hepatitis C virus seropositivity among male volunteer blood donors in Karachi,Pakistan[J]. World Journal of Gastroenterology 2009(13)
- [22].On random coefficient INAR(1) processes[J]. Science China(Mathematics) 2013(01)
- [23].Is the Export-led Growth Hypothesis Enough to Account for China's Growth?[J]. China & World Economy 2010(04)
- [24].在线结构断点估计的非平稳时间序列模型(英文)[J]. 中国通信 2011(07)
- [25].Moving Average Model with an Alternative GARCH-Type Error[J]. Journal of Systems Science and Information 2018(02)
- [26].Estimation for nearly unit root processes with GARCH errors[J]. Applied Mathematics:A Journal of Chinese Universities(Series B) 2010(03)
- [27].Identification and control of a small-scale helicopter[J]. Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2010(12)
- [28].基于自回归-隐马尔可夫模型的离心泵故障诊断方法研究[J]. 中国机械工程 2009(07)
- [29].A note on self-normalized Dickey-Fuller test for unit root in autoregressive time series with GARCH errors[J]. Applied Mathematics:A Journal of Chinese Universities(Series B) 2008(02)
- [30].Is the global sea surface temperature rise accelerating?[J]. Geodesy and Geodynamics 2018(06)