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

Authors
Li-J; Jobes-CC; Carr-JL
Source
IEEE Trans Ind Appl 2013 May/Jun; 49(3):1171-1176
NIOSHTIC No.
20042708
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 sphere-cosine 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
CODEN
ITIACR
Publication Date
20130501
Document Type
Journal Article
Email Address
Jingcheng.Li@cdc.hhs.gov
Fiscal Year
2013
NTIS Accession No.
NTIS Price
Identifying No.
B20130625
Issue of Publication
3
ISSN
0093-9994
NIOSH Division
OMSHR
Priority Area
Mining
Source Name
IEEE Transactions on Industry Applications
State
PA
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