Comparison of magnetic field distribution models for a magnetic proximity detection system.
Li-J; Jobes-CC; Carr-JL
IEEE Trans Ind Appl 2013 May/Jun; 49(3):1171-1176
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
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
Jingcheng Li, National Institute for Occupational Safety and Health, Pittsburgh Research Laboratory, P.O. Box 18070, 626 Cochrans Mill Road, Pittsburgh, PA 15236
IEEE Transactions on Industry Applications