Results 31 - 40 of 55

• Remote Mine Fire Suppression Technology
  11/1/2007 - Conference papers
  This paper presents a summary of remote mine firefighting technologies used in U.S. underground coal mines and the results of completed NIOSH research in that area.
• Effectiveness of Various Concentrations of an Inert Gas Mixture for Preventing and Suppressing Mining Equipment Cab Fires: Development of a Dual-Cab Fire Inerting System
  3/1/2007 - Peer reviewed journal articles
  NIOSH conducted large-scale experiments to evaluate the effectiveness and safety of various concentrations of an inert gas mixture for preventing and suppressing cab fires. This has led to the choice of an optimum gas mixture concentration.
• Mine Fires - Measuring the Efficacy of Gas-Enhanced Foam
  6/1/2006 - Conference papers
  NIOSH conducted research with U.S. Foam Technologies, Inc. and On Site Gas Systems, Inc., on the remote application of extinguishing agents to improve deployment strategies, and limit miner exposure and ensure the best outcome during a mine fire.
• Evaluation of Remotely Installed Mine Seals for Mine Fire Control
  6/1/2006 - Conference papers
  NIOSH is conducting full-scale underground experiments at its Lake Lynn Experimental Mine to identify and remedy existing shortcomings of remote sealing technology in order to develop new and improved technologies for the mining industry.
• The Effects of Ventilation and Preburn Time on Water Mist Extinguishing of Diesel Fuel Pool Fires
  9/1/2004 - Peer reviewed journal articles
  Reports on the evaluation of water mist for the suppression of underground mine fires, such as fires in diesel fuel storage areas.
• 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.
• Technology News 498 - Multiple Fire Sensors for Mine Fire Detection and Nuisance Discrimination
  9/1/2002 - Technology News
  In an effort to determine the effectiveness of multiple types of fire sensors for early and reliable mine fire detection, NIOSH has evaluated multiple sensors for early mine fire detection and nuisance signal discrimination.
• The Use of Light Scattering and Ion Chamber Responses for the Detection of Fires in Diesel Contaminated Atmospheres
  6/1/2002 - Peer reviewed journal articles
  Experiments were conducted to determine the optical scattering properties of diesel particulate matter (DPM) and various combustion aerosols from both flaming and smoldering combustion sources at discrete angles of 151 and 301 in the forward direction...