Results 1 - 10 of 22

• Impact of Air Velocity on the Detection of Fires in Conveyor Belt Haulageways
  5/1/2011 - Peer reviewed journal articles
  This paper discusses the impact of ventilation airflow on alarm times of the smoke detectors and video cameras, CO levels, smoke optical densities and smoke obscuration, total smoke mass concentrations, and fire heat release rates.
• Evaluation of Smoke Detectors for Use in Underground Mines
  2/1/2009 - Conference papers
  This report describes experiments and their results in determining the responses of a prototype smoke detector and a commercially available photoelectric smoke detector to smoke particles generated from various combustion sources.
• Fire Detection for Conveyor Belt Entries
  1/1/1991 - Reports of Investigations
  This report details the results of a series of large-scale experiments where small coal fires were used to ignite the conveyor belt at specific air velocities, and showed conditions required for early detection of conveyor belt entry fires.
• Evaluation of Smoke and Gas Sensor Responses for Fires of Common Mine Combustibles
  3/1/2015 - Peer reviewed journal articles
  An article detailing experiments conducted to evaluate the response characteristics of commercially available gas, smoke and flame sensors to fires of common combustible mine materials.
• Rapid Detection and Suppression of Mining Equipment Cab Fires
  4/1/2010 - Peer reviewed journal articles
  This paper discusses large-scale experiments conducted by NIOSH to evaluate the effectiveness of optical flame detectors, photoelectric smoke detectors, and combined ionization/photoelectric smoke detectors for detecting mining equipment cab fires.
• Laboratory Evaluation of Smoke Detectors for Use in Underground Mines
  4/1/2009 - Peer reviewed journal articles
  This report describes experiments, their results, and how these results apply to early-warning fire sensors capable of rapid and reliable detection of fires in atmospheres that could be contaminated by either airborne dust or diesel engine products.
• In-Mine Evaluation of Smart Mine Fire Sensor
  12/1/2008 - Peer reviewed journal articles
  This paper describes the in-mine evaluation of a smart mine fire sensor system and discusses recommendations for improving the system.
• Real-time Neural Network Application to Mine Fire - Nuisance Emissions Discrimination
  5/1/2004 - Conference papers
  Discusses 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.
• Multiple Type Discriminating Mine Fire Sensors
  12/1/2003 - Peer reviewed journal articles
  Researchers determined that different types of fire sensors could distinguish mine fires from nuisance emissions produced by diesel equipment. A neural network was developed for coal, wood, & conveyor belt fires in the presence of diesel emissions.
• Neural Network Application to Mine-Fire Diesel-Exhaust Discrimination
  10/1/2002 - Conference papers
  Results 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.