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Mining Publication: Electrical Fault Detection on Downed DC Trolley Lines

NOTE: This page is archived for historical purposes and is no longer being maintained or updated. Contact NIOSH Mining if you need an accessible version.

Original creation date: February 1997

Image of publication Electrical Fault Detection on Downed DC Trolley Lines

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.

Authors: JS Peterson, GP Cole

Conference Paper - February 1997

NIOSHTIC2 Number: 20021274

SME Preprint 97-38, Society for Mining, Metallurgy, and Exploration, Inc., 1997 Feb:1-5