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Mining Publication: Real-time Neural Network Application to Mine Fire - Nuisance Emissions Discrimination
Keywords: Atmospheric monitoring CO detection CO meters Diesel discriminating fire sensors Diesel exhaust 
 Numerical modeling Smoke sensors
This page is archived for historical purposes and is no longer being maintained or updated.
Original creation date: May 2004
Authors: JC Edwards, RA Franks, GF Friel, CP Lazzara, JJ Opferman
Conference Paper - May 2004
Download PDF Document (0.17 MB)
NIOSHTIC2 Number: 20024811
Mine Ventilation: Proc 10th U.S./North American Mine Ventilation Symposium (May 16-19, 2004, Anchorage, AK), Ganguli-R and Bandopadhyay-S, eds. A. A. Balkema Publishers, Lisse, Netherlands:425-431
The National Institute for Occupational Safety and Health (NIOSH) implemented 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. The real-time response of a neural network to fire sensor outputs was demonstrated for coal and belt combustion in the presence of diesel emissions. The fire sensors consisted of an optical path smoke sensor, a carbon monoxide (CO) sensor, and two types of metal oxide semiconductor (MOS) sensors. The real time neural network was trained with coal, wood, and belt fire experiments with and without diesel emissions background. The trained neural network successfully predicted mine fires with these combustibles in the smoldering stage prior to the onset of flames.
Image of publication Real-time Neural Network Application to Mine Fire - Nuisance Emissions DiscriminationConference Paper - May 2004
Download PDF Document (0.17 MB)
NIOSHTIC2 Number: 20024811
Mine Ventilation: Proc 10th U.S./North American Mine Ventilation Symposium (May 16-19, 2004, Anchorage, AK), Ganguli-R and Bandopadhyay-S, eds. A. A. Balkema Publishers, Lisse, Netherlands:425-431
See Also
In Mine Evaluation of Discriminating Mine Fire Sensors
In-Mine Evaluation of Smart Mine Fire Sensor
In-Mine Evaluation of Smoke Detectors
Mine Fire Detection in the Presence of Diesel Emissions
Mine Fire Detection in the Presence of Diesel Emissions
Mine Fire Source Discrimination Using Fire Sensors and Neural Network Analysis
Multiple Type Discriminating Mine Fire Sensors
Near Real Time Monitoring of Diesel Particulate Matter in Underground Mines
Neural Network Application to Mine-Fire Diesel-Exhaust Discrimination
Technology News 498 - Multiple Fire Sensors for Mine Fire Detection and Nuisance Discrimination
Page last reviewed: September 21, 2012
Page last updated: September 21, 2012
Content source: National Institute for Occupational Safety and Health, Mining Program
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