A Transferrable Shell-Based Magnetic Flux Density Distribution Model for a Magnetic Proximity Detection System

Details

• Personal Author:
  Carr J ; Li J ; Smith A ; Waynert J
• Description:
  A magnetic proximity detection system relies on magnetic flux density measurement to determine the position of a worker relative to a mobile mining machine. It is desirable for the magnetic flux density distribution to be automatically adjustable to conform to the protection requirements for the different types of machines and working environments. In support of the development of an automatic field distribution adjustment process, we developed a transferrable magnetic flux density distribution model. The transferrable model can also be used to control and stabilize the field against field drift to enhance system performance. [Description provided by NIOSH]
• Subjects:
  Air Movements Mining Occupational Health Particulate Matter Safety Vehicle Emissions Ventilation
• Keywords:
  Author Keywords: Electromagnetic Modeling Coal-mining Detectors Electromagnetic-wave-transmission Environmental-control-equipment Environmental-technology Ferrite Devices Magnetic-fields Magnetic-properties Magnetic Field Measurement Magnetic Flux Density Measurement-equipment Mining-equipment Mining-industry Models Near-field Radiation Pattern Radiofrequency-radiation Safety-engineering Safety-monitoring Transfer Function Underground-mining Vehicle Safety Warning-systems

  More +
• Series:
  Mining Publications
• ISBN:
  9781479922888
• ISSN:
  0197-2618
• Publisher:
  Institute of Electrical and Electronics Engineers
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  New Jersey ; OSHA Region 2 ; OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  OMSHR - Office of Mine Safety and Health Research
• Topic:
  Workplace Safety & Health
• Location:
  North America
• NIOSHTIC Number:
  nn:20045719
• Citation:
  2014 IEEE Industry Applications Society Annual Meeting: 49th IAS Annual Meeting, October 5-9, 2014, Vancouver, British Columbia, Canada. Piscataway, NJ: Institute of Electrical and Electronics Engineers, 2014 Oct; :2014-MIC-0263
• Contact Point Address:
  Jingcheng Li, Ph.D., National Institute for Occupational Safety and Health, 626 Cochrans Mill Road, Pittsburgh, PA 15236, USA
• Email:
  Jingcheng.li@cdc.hhs.gov
• Federal Fiscal Year:
  2015
• NORA Priority Area:
  Mining
• Peer Reviewed:
  False
• Source Full Name:
  2014 IEEE Industry Applications Society Annual Meeting: 49th IAS Annual Meeting, October 5-9, 2014, Vancouver, British Columbia, Canada
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:78842df2ea7e1a5f9568699c9cd4446141873ac02fc9834a68ca6dc6f514442dee75b5127bd80a1d981638e2a36c539187540f56720845e2311b984001c24eaa
• Download URL:
  https://stacks.cdc.gov/view/cdc/228110/cdc_228110_DS1.pdf
• File Type:
  [PDF - 990.06 KB ]