Modify Selection
- Hazard prevention and control:
- CO detection
- Document types:
- Conference papers
Home Links
Results 1 - 4 of 4
-
5/1/2004 - Conference papersDiscusses implementation of a real-time neural network which can discriminate mine fires from nuisance diesel emissions as part of an atmospheric mine monitoring system in NIOSH's Safety Research Coal Mine.
-
10/1/2002 - Conference papersResults of experiments to train a neural network to detect coal and styrene-butadiene-rubber conveyor belting fires. Six of the seven experiments were conducted in the presence of diesel exhaust.
-
4/1/2000 - Conference papersReport on the application of a neural-network program using mine sensor data to classify the type of fire.
-
2/1/1997 - Conference papersReport on a series of diesel fuel fire experiments were conducted in the Pittsburgh Research Center's Safety Research Coal mine (SRCM) to determine products-of-combustion (POC) spread rates along a single entry under zero imposed airflow conditions.
Home Links
Content source: National Institute for Occupational Safety and Health, Mining Program