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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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6/1/2002 - Conference papersAn evaluation of multiple mine fire sensor types for nuisance alarm discrimination. The response of multiple fire sensor types to three small coal fires and three small conveyor belt fires in the presence of diesel emissions was evaluated.
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6/1/1999 - Conference papersA report on a series of four coal combustion experiments conducted at the NIOSH (PRL) Safety Research Coal Mine (SRCM) to evaluate the response of fire sensors to a small 0.61 m square smoldering coal fire which transitions to flaming combustion in the ...
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Content source: National Institute for Occupational Safety and Health, Mining Program