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Mine fire source discrimination using fire sensors and neural network analysis.

Authors
Edwards-JC; Friel-GF; Franks-RA; Lazzara-CP; Opferman-JJ
Source
Combustion Fundamentals and Applications--Proceedings of the 2000 Technical Meeting of the Central States Section of the Combustion Institute, Indianapolis, Indiana. Pittsburgh, PA: The Combustion Institute, 2000 Apr; :207-211
Link
NIOSHTIC No.
20020920
Abstract
Fire experiments were conducted in the Safety Research Coal Mine (SRCM) at the National Institute for Occupational Safety and Health, Pittsburgh Research Laboratory, with coal, diesel-fuel, electrical cable, conveyor-belt, and metal-cutting fire sources to determine the response of fire sensors to products-of- combustion (POC). Metal oxide semiconductor (MOS) and smoke fire sensors demonstrated an earlier fire detection capability than a carbon monoxide sensor. This capability was of particular significance for a conveyor-belt fire in which the optical visibility was reduced to 1.52 m with an increase in carbon monoxide of less than 2 ppm at a distance of 148 m from the fire. Application of a neural-network program to the sensor responses from each type of fire source resulted in correct classifications of coal, diesel-fuel, cable, belt, and metal-cutting combustion with a mean of 96% of the test data correctly classified.
Keywords
Mining-industry; Underground-mining; Fire-safety; Fire-prevention; Monitors; Monitoring-systems
Contact
NIOSH, Pittsburgh Research Laboratory, P.O. Box 18070, Pittsburgh, PA 15236
CAS No.
630-08-0
Publication Date
20000416
Document Type
Conference/Symposia Proceedings
Editors
Reuss-DL
Fiscal Year
2000
NTIS Accession No.
NTIS Price
NIOSH Division
PRL
Source Name
Combustion Fundamentals and Applications Proceedings of the 2000 Technical Meeting of the Central States Section of the Combustion Institute
State
PA
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