Mine Fire Source Discrimination Using Fire Sensors and Neural Network Analysis
Public Domain
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2000/04/01
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Series: Mining Publications
File Language:
English
Details
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Journal Article:Combustion Fundamentals and Applications Proceedings of the 2000 Technical Meeting of the Central States Section of the Combustion Institute
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Description: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. [Description provided by NIOSH]
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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
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Pages in Document:5 pdf pages
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NIOSHTIC Number:nn:20020920
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Contact Point Address:NIOSH, Pittsburgh Research Laboratory, P.O. Box 18070, Pittsburgh, PA 15236
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Federal Fiscal Year:2000
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Peer Reviewed:False
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Main Document Checksum:urn:sha-512:d56b0e447ae919c00adeba7fcd2afa6a2335e6f10588e7158e83aa297a38e406b249f86c742419309ff55f8f433271c979bff3de9d305b47090b9dd3098827dd
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File Language:
English
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