Real-Time Neural Network Application to Mine Fire-Nuisance Emissions Discrimination

Details

• Personal Author:
  Edwards JC ; Franks, Robert A. ; Friel, Gene F. ; Lazzara, Charles P. ; Opferman JJ
• Description:
  The National Institute for Occupational Safety and Health (NIOSH) implemented a real-time neural network system that 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 sensor, and two types of metal oxide semiconductor 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 before the onset of flames. [Description provided by NIOSH]
• Subjects:
  Coal Coal Mining Mining Occupational Health Safety Vehicle Emissions
• Keywords:
  Coal-mining Diesel-emissions Mine-fires Safety-research Sensors Underground-mining
• Series:
  Mining Publications
• ISBN:
  9058096335
• Publisher:
  Balkema
• Document Type:
  Text
• Genre:
  Proceedings ; Book
• Place as Subject:
  OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PRL - Pittsburgh Research Laboratory
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  425-431
• NIOSHTIC Number:
  nn:20024811
• Citation:
  Mine ventilation: Proceedings of the 10th U.S./North American Mine Ventilation Symposium, Anchorage, Alaska, May 16-19, 2004. Lisse, Netherlands: Balkema, 2004 May; :425-431
• CAS Registry Number:
  Carbon monoxide (CAS RN 630-08-0)
• Editor(s):
  Ganguli R; Bandopadhyay S
• Federal Fiscal Year:
  2004
• Peer Reviewed:
  False
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:526d27c3bb60ed8d76f2ecdf53c5ddafdd6526ddaa9897356d4f7657d9e8cd81bfc851488aebd7232abfeedefdc02dba8e1ea1985ae47d6dbf4ca1223f282fb4
• Download URL:
  https://stacks.cdc.gov/view/cdc/220838/cdc_220838_DS1.pdf
• File Type:
  [PDF - 1.83 MB ]