Results 11 - 20 of 25

• 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.
• 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...
• In Mine Evaluation of Discriminating Mine Fire Sensors
  6/1/2002 - Conference papers
  An evaluation of multiple mine fire sensor types for nuisance alarm discrimination. The response of multiple fire sensor types to three small coal fires and three small conveyor belt fires in the presence of diesel emissions was evaluated.
• Mine Fire Source Discrimination Using Fire Sensors and Neural Network Analysis
  4/1/2000 - Conference papers
  Report on the application of a neural-network program using mine sensor data to classify the type of fire.