Multiple Type Discriminating Mine Fire Sensors

Details

• Personal Author:
  Edwards, J. C. ; Franks, R. A. ; Friel, G. F. ; Lazzara, C. P. ; Opferman, J. J.
• Description:
  It was determined that a selection of different types of fire sensors could be used to discriminate mine fires from nuisance emissions produced by diesel equipment. A neural network (NN) was developed for application to coal, wood, and conveyor belt fires in the presence of diesel emissions and evaluated with the successful prediction of twenty-two out of twenty-three mine fires based upon a fire probability determination. The optimum sensor selection for the NN was comprised of a carbon monoxide (CO) sensor, two different types of metal oxide semiconductor (MOS) sensors, and an optical path smoke sensor.
• Subjects:
  Mining
• Source:
  Trans Soc Min Metall Explor 2003 Dec; 314:166-171
• Document Type:
  Journal Article
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:b8fbb8341a8cb4cc904c01e478160150c1385b4aece4273aca6da8ec7c880e6c
• Download URL:
  https://stacks.cdc.gov/view/cdc/9108/cdc_9108_DS1.pdf
• File Type:
  [PDF - 333.85 KB ]