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Electrical Fault Detection on Downed DC Trolley Lines.

Authors
Peterson-JS; Cole-GP
Source
SME Preprint 97-38, 1997 :1-5
Link
NIOSHTIC No.
20021274
Abstract
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.
Keywords
Electrical-hazards; Electrical-equipment; Electrical-charge; Electrical-transmission; Electricity; Mining-industry
Contact
National Institute for Occupational Safety and Health, Pittsburgh Research Laboratory, P.O. Box 18070, Pittsburgh, PA 15236
Publication Date
19970101
Document Type
Book or book chapter
Fiscal Year
1997
NTIS Accession No.
NTIS Price
NIOSH Division
PRL
Source Name
Society for Mining, Metallurgy, and Exploration
State
PA
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