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Mining Publication: Mine Fire Detection in the Presence of Diesel Emissions
Keywords: Diesel exhaust Fire detection Fires Smoke sensors
This page is archived for historical purposes and is no longer being maintained or updated. Contact NIOSH Mining if you need an accessible version.
Original creation date: October 1999
Authors: JC Edwards, RA Franks, GF Friel, CP Lazzara, JJ Opferman
Conference Paper - October 1999
Download PDF Document (0.16 MB)
Chemical and Physical Process of Combustion. The Fall Technical Meeting of the Eastern States Section of the Combustion Institute (Oct 10-13, 1999; Raleigh, NC), North Carolina State University; :89-92
A series of four coal combustion experiments was conducted at the National Institute for Occupational Safety and Health, Pittsburgh Research Laboratory in the Safety Research Coal Mine to evaluate the response of optical and ionization smoke and CO sensors to a small 0.61 m square smoldering coal fire which transitions to flaming combustion in the presence of diesel emissions. With the increased utilization of diesel engines in underground coal mines, it is important to be able to discriminate fire products-of-combustion (POC) from diesel emissions. One proposed method to accomplish this is the deployment and interpretation of multiple sensors.
Image of publication Mine Fire Detection in the Presence of Diesel EmissionsConference Paper - October 1999
Download PDF Document (0.16 MB)
Chemical and Physical Process of Combustion. The Fall Technical Meeting of the Eastern States Section of the Combustion Institute (Oct 10-13, 1999; Raleigh, NC), North Carolina State University; :89-92
See Also
Fire Response Preparedness for Underground Mines
In Mine Evaluation of Discriminating Mine Fire Sensors
In-Mine Evaluation of Smart Mine Fire Sensor
Mine Fire Detection in the Presence of Diesel Emissions
Mine Fire Diagnostics Applied to the Carbondale, PA Mine Fire Site
Multiple Type Discriminating Mine Fire Sensors
Neural Network Application to Mine-Fire Diesel-Exhaust Discrimination
Overview of Mine Fire Detection
Real-time Neural Network Application to Mine Fire - Nuisance Emissions Discrimination
Understanding Mine Fire Disasters by Determining the Characteristics of Deep-Seated Fires
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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