Results 21 - 30 of 41

• 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.
• Methods to Improve Efficiency of Mine Ventilation Systems
  1/1/2010 - Peer reviewed journal articles
  This paper discusses some ways to find extra usable air when there is no extra ventilation capacity.
• Reconciling Longwall Gob Gas Reservoirs and Venthole Production Performances Using Multiple Rate Drawdown Well Test Analysis
  12/1/2009 - Peer reviewed journal articles
  In this paper, the production rate-pressure behaviors of six gob gas ventholes drilled over three adjacent panels were analyzed by using conventional multi-rate drawdown analysis techniques.
• 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.
• Methods to Improve Mine Ventilation System Efficiency
  2/1/2009 - Conference papers
  This paper discusses some ways to find extra usable air when there is no extra ventilation capacity.
• 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.