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Results 1 - 10 of 99
8/20/2013 - PC softwareA software program to help improve mine layouts for control of horizontal stress.
3/1/2012 - Peer reviewed journal articlesThe CART-based model that is given in this paper can be used to predict methane emission rates and to adjust operation parameters under ventilation constrains in longwall mining.
1/1/2012 - Peer reviewed journal articlesTo assess the effectiveness of commonly applied ventilation strategies for improving air distribution and ventilation controls to meet statutory requirements.
9/1/2011 - Peer reviewed journal articlesResults from the NIOSH underground dust surveys and current longwall dust control technology and operating practices are discussed.
Forecasting Gob Gas Venthole Production Performances Using Intelligent Computing Methods for Optimum Methane Control in Longwall Coal Mines9/1/2009 - Peer reviewed journal articlesIn this paper, the total gas flow rates and methane percentages from 10 GGVs were analyzed. The results showed that the two-hidden layer model predicted total production and the methane content of the GGVs with more than 90% accuracy.
3/1/2009 - Peer reviewed journal articlesThis study describes the development of an expert classification system used as a decision tool which can be used for degasification system selection using site- and mine-specific conditions.
12/1/2008 - Peer reviewed journal articlesThis report examines the development of modern pumpable roof support technology and provides a full description of the performance capabilities of each of the support products now on the market.
The Borehole Monitoring Experiment: Field Measurements of Reservoir Conditions and Responses in Longwall Panel Overburden During Active Mining6/1/2008 - Conference papersThis paper describes the results of a NIOSH borehole monitoring experiment (BME) on an active longwall panel.
In this report, several practical guidelines are recommended for controlling longwall coalbed methane. All predictions are based on determinations made for the Pittsburgh Coalbed in southwestern Pennsylvania.
Modeling and Prediction of Ventilation Methane Emissions of U.S. Longwall Mines Using Supervised Artificial Neural Networks2/1/2008 - Peer reviewed journal articlesThis study proposes a principal component analysis (PCA) and artificial neural network (ANN)-based approach to predict the ventilation methane emission rates of U.S. longwall mines.