Electrical fault detection on downed DC trolley lines.
Society for Mining, Metallurgy, and Exploration, Inc., preprint 97-38, 1997 Feb; :1-5
The National Institute for Occupational Safety and Health (NIOSH), Pittsburgh Research Center (PRC), has conducted research to improve electrical fault detection on coal mine direct current (dc) trolley systems. Present circuit breaker protection systems are current-magnitude-based and cannot discern between normal traffic and high resistance electrical faults. Tests were conducted at cooperating mines to assist in developing a neural-network-based detection algorithm for distinguishing between electrical faults and normal operation. The Fast Fourier Transform of the trolley rectified current signature served as baseline data for the neural network. During field tests, the algorithm performed with greater than 90% accuracy.
Electrical-hazards; Electrical-equipment; Electrical-charge; Electrical-transmission; Electricity; Mining-industry
National Institute for Occupational Safety and Health, Pittsburgh Research Laboratory, P.O. Box 18070, Pittsburgh, PA 15236
Electrical fault detection on downed DC trolley lines