Results 1 - 9 of 9

• A Wearable Multivariable Sensor for NO2 and CO Detection
  5/23/2016 - Contracts and cooperative agreements
  A contract to design composite sensing materials to develop a sensor that is sensitive to carbon monoxide and nitrogen dioxide at the desired concentrations but is not affected by the interferences present in mines.
• CFD modelling of sampling locations for early detection of spontaneous combustion in long-wall gob areas
  1/1/2012 - Peer reviewed journal articles
  In this study, computational fluid dynamics (CFD) modeling was conducted to optimize gas sampling locations for the early detection of spontaneous heating in longwall gob 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.
• 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.
• Mine Fire Detection Under Zero Airflow Conditions
  2/1/1997 - Conference papers
  Report 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.
• In-Mine Evaluation of Smoke Detectors
  1/1/1992 - Information Circulars
  An report on the evaluation of smoke detectors placed in conveyor belt entries of underground coal mines. Recommendations for performance standards, sensitivity tests, detector classification and maintenance are also presented.