Comparison of Magnetic Field Distribution Models for a Magnetic Proximity Detection System

Details

• Personal Author:
  Carr, Jacob L. ; Jobes, Christopher C. ; Li J
• Description:
  Magnetic proximity detection technology is rapidly advancing as a promising method of protecting underground mine workers from striking and pinning hazards associated with mobile mining machines. A magnetic proximity detection system requires a magnetic distribution model to estimate the proximity of the sensor to the generators. This paper presents a comparative analysis of magnetic flux density distribution models in three different field distribution design patterns. The accuracy of these models is determined with a laboratory magnetic proximity detection system. These field distribution design patterns are spherical, ellipsoidal, and sphere-cosine, respectively. The analyses show that the sphere-cosine model is the most accurate model for the proximity system followed by the ellipsoidal and spherical models [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Risk Assessment Safety Safety Management
• Keywords:
  Author Keywords: Collision Avoidance Control-technology Electromagnetic Modeling Equipment-design Error Analysis Ferrite Device Injury-prevention Magnetic-properties Magnetic Fields Magnetic Flux Density Magnetic Sensors Mine-workers Mining-equipment Mining-industry Mining Equipment Models Optimization Risk-analysis Safety-engineering Safety-measures Safety-research Underground-miners Underground-mining

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• Series:
  Mining Publications
• ISSN:
  0093-9994
• Publisher:
  Institute of Electrical and Electronics Engineers Inc.
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  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
• Volume:
  49
• Issue:
  3
• NIOSHTIC Number:
  nn:20042708
• Citation:
  IEEE Trans Ind Appl 2013 May/Jun; 49(3):1171-1176
• Contact Point Address:
  Jingcheng Li, National Institute for Occupational Safety and Health, Pittsburgh Research Laboratory, P.O. Box 18070, 626 Cochrans Mill Road, Pittsburgh, PA 15236
• Email:
  Jingcheng.Li@cdc.hhs.gov
• Federal Fiscal Year:
  2013
• NORA Priority Area:
  Mining
• Peer Reviewed:
  True
• Source Full Name:
  IEEE Transactions on Industry Applications
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:509e8dbfb94a3877e7d20a424309279d1ff38c5c87d4b823b17b9dc31c83ebbbb9f62c276c2efc64be40e797bde0b621fca49484dc2a7c9ab9fac91f746311ba
• Download URL:
  https://stacks.cdc.gov/view/cdc/227988/cdc_227988_DS1.pdf
• File Type:
  [PDF - 530.63 KB ]