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9/19/2012 - Unpublished documents and reportsA Proximity Warning System (PWS) marker on each worker that is activated as he or she approaches a dangerous area could alert the operator and prevent a potential injury or fatality.
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This NIOSH publication demonstrates how existing and new engineering controls can be used to reduce face methane levels.
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2/1/2010 - Conference papersThis paper describes field tests conducted by NIOSH to evaluate the effectiveness of a wet head continuous mining machine for reducing dust exposure for continuous miner operators.
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2/1/2010 - Conference papersThis paper describes lab experiments to examine the effect of spray type, pressure, machine body blocking sprays, and scrubber airflow on dust and gas levels while using a 12.2 m (40 ft) exhaust ventilation curtain setback from the face.
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3/15/2017 - Research projectsA project to develop and evaluate control technologies to reduce respirable dust exposures for operators of roof bolters and continuous mining machines.
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9/28/2012 - News articlesNIOSH is developing a prototype intelligent system that provides enhanced protection by continuously monitoring miners’ positions in relation to the machine and established safety zones.
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3/1/2012 - Peer reviewed journal articlesIn this paper, the authors review existing proximity warning technologies, describe ongoing NIOSH research on an intelligent proximity warning system, and summarize current test results.
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11/1/2009 - Conference papersThis paper demonstrates the applications of coal bed reservoir engineering and modeling techniques for optimizing and controlling methane emissions in longwall and continuous miner sections.
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10/1/2008 - Conference papersThis paper describes research to control dominant noise sources in continuous miners. This work ranks noise radiated by different conveyor sections and determines the effect of a urethane-coated tail roller on the noise radiated by the tail section.
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7/1/2008 - Conference papersIn the Hemi-anechoic chamber of the Pittsburgh Research Laboratory noise source identification on a continuous miner was performed using phased array measurements and a frequency domain beamforming algorithm with Diagonal Removal.
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Content source: National Institute for Occupational Safety and Health, Mining Program