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Comparison of magnetic field distribution models for a magnetic proximity detection system.

Authors
Li-J; Jobes-C; Carr-J
Source
2011 IEEE Industry Applications Society Annual Meeting: Forty-sixth IAS Annual Meeting, October 9-13, 2011, Orlando, Florida. Piscataway, NJ: Institute of Electrical and Electronics Engineers, 2011 Oct; :634-640
NIOSHTIC No.
20039815
Abstract
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 spherecosine model is the most accurate model for the proximity system followed by the ellipsoidal and spherical models.
Keywords
Control-technology; Equipment-design; Injury-prevention; Magnetic-properties; Mine-workers; Mining; Mining-equipment; Mining-industry; Models; Risk-analysis; Safety-engineering; Safety-measures; Safety-research; Underground-miners; Underground-mining; Author Keywords: Collision avoidance; electromagnetic modeling; error analysis; ferrite device; magnetic fields; magnetic flux density; magnetic sensors; mining equipment; optimization
Contact
Jingcheng Li, National Institute for Occupational Safety and Health, Pittsburgh Research Laboratory, P.O. Box 18070, 626 Cochrans Mill Road, Pittsburgh, PA 15236
Publication Date
20111001
Document Type
Conference/Symposia Proceedings
Email Address
Jingcheng.Li@cdc.hhs.gov
Fiscal Year
2012
NTIS Accession No.
NTIS Price
ISBN No.
9781424494989
Identifying No.
B11122011
ISSN
0197-2618
NIOSH Division
OMSHR
Priority Area
Mining
Source Name
2011 IEEE Industry Applications Society Annual Meeting: Forty-sixth IAS Annual Meeting, October 9-13, 2011, Orlando, Florida
State
PA; FL; NJ
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