- Hazard prevention and control:
- CO detection
Results 1 - 9 of 9
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5/23/2016 - Contracts and cooperative agreementsA contract to design composite sensing materials to develop a sensor that is sensitive to carbon monoxide and nitrogen dioxide at the desired concentrations but is not affected by the interferences present in mines.
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1/1/2012 - Peer reviewed journal articlesIn this study, computational fluid dynamics (CFD) modeling was conducted to optimize gas sampling locations for the early detection of spontaneous heating in longwall gob areas.
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5/1/2004 - Conference papersDiscusses implementation of a real-time neural network which can discriminate mine fires from nuisance diesel emissions as part of an atmospheric mine monitoring system in NIOSH's Safety Research Coal Mine.
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12/1/2003 - Peer reviewed journal articlesResearchers determined that different types of fire sensors could distinguish mine fires from nuisance emissions produced by diesel equipment. A neural network was developed for coal, wood, & conveyor belt fires in the presence of diesel emissions.
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10/1/2002 - Conference papersResults of experiments to train a neural network to detect coal and styrene-butadiene-rubber conveyor belting fires. Six of the seven experiments were conducted in the presence of diesel exhaust.
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9/1/2002 - Technology NewsIn an effort to determine the effectiveness of multiple types of fire sensors for early and reliable mine fire detection, NIOSH has evaluated multiple sensors for early mine fire detection and nuisance signal discrimination.
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4/1/2000 - Conference papersReport on the application of a neural-network program using mine sensor data to classify the type of fire.
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2/1/1997 - Conference papersReport on a series of diesel fuel fire experiments were conducted in the Pittsburgh Research Center's Safety Research Coal mine (SRCM) to determine products-of-combustion (POC) spread rates along a single entry under zero imposed airflow conditions.
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1/1/1992 - Information CircularsAn report on the evaluation of smoke detectors placed in conveyor belt entries of underground coal mines. Recommendations for performance standards, sensitivity tests, detector classification and maintenance are also presented.