New Insight into the Detection of High-Impedance Arcing Faults on DC Trolley Systems

Details

• Personal Author:
  Kohler, Jeffrey L. ; Li J
• Description:
  High-impedance arcing faults are difficult to detect with conventional switchgear, and the presence of these faults in coal mine power systems represents a significant fire hazard. Research was performed to identify plausible techniques that would discriminate between the high-impedance arcing faults and legitimate load currents on the dc trolley system. This paper briefly summarizes that effort and focuses on the frequency characteristics of the arc current. After the arc was modeled as a stochastic process, good agreement was obtained between experimental observations and mathematical predictions. [Description provided by NIOSH]
• Subjects:
  Coal Coal Mining Electric Injuries Electricity Mining Occupational Health Power Plants Safety
• Keywords:
  Author Keywords: DC Power Systems Coal-mining Dc Trolley Systems Electrical-hazards Electrical-resistance Electrical Safety Ground-fault Detection High Impedance Mine-fires Mine Power Systems Power-generation

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• Series:
  Mining Publications
• ISSN:
  0093-9994
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PRL - Pittsburgh Research Laboratory
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  35
• Issue:
  5
• NIOSHTIC Number:
  nn:20000812
• Citation:
  IEEE Trans Ind Appl 1999 Sep/Oct; 35(5):1169-1173
• Federal Fiscal Year:
  1999
• NORA Priority Area:
  Research Tools and Approaches: Control Technology and Personal Protective Equipment
• Peer Reviewed:
  True
• Source Full Name:
  IEEE Transactions on Industrial Applications
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:50b9818e5c74d80b036e391dd5f57af206014a877bc78633f581b4f809c1756feeffaf51f605565a4e213f0ddb5bd573a922e2bf94871b9a2c451c804ea8c05f
• Download URL:
  https://stacks.cdc.gov/view/cdc/220386/cdc_220386_DS1.pdf
• File Type:
  [PDF - 110.60 KB ]