Electrical fault detection on downed DC trolley lines.

Details

• Personal Author:
  Cole, Gregory P. ; Peterson, Jeffrey S.
• Corporate Authors:
  National Institute for Occupational Safety and Health. Pittsburgh Research Laboratory
• Description:
  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.
  
  NIOSHTIC no. 20021274
  
  
• Subjects:
  Occupational Health Safety
• Source:
  Society for Mining, Metallurgy, and Exploration, Inc., preprint 97-38, 1997 Feb ; :1-5
• Series:
  Mining Publications
• Document Type:
  Text
• Genre:
  Report
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  5 numbered pages
• NIOSHTIC Number:
  nn:20021274
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:2906c75ea335c9e5bcff96610939ebc7a9d7660423c65402a21cef45a292eb4d44ac86432a0b7a37c3acd5ed3c6e8b2cea7b8cad96a8dfc4630317cdecbe2a0f
• Download URL:
  https://stacks.cdc.gov/view/cdc/8700/cdc_8700_DS1.pdf
• File Type:
  [PDF - 350.43 KB ]