J
Jin Hur
Researcher at Incheon National University
Publications - 241
Citations - 3417
Jin Hur is an academic researcher from Incheon National University. The author has contributed to research in topics: Fault (power engineering) & Stator. The author has an hindex of 29, co-authored 237 publications receiving 2830 citations. Previous affiliations of Jin Hur include Changwon National University & International University, Cambodia.
Papers
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Comparison of the Fault Characteristics of IPM-Type and SPM-Type BLDC Motors Under Inter-Turn Fault Conditions Using Winding Function Theory
TL;DR: In this paper, the authors compared and analyzed the characteristics of brushless dc motors under the ITF condition and applied the advanced angle control to determine which motor type is more efficient in preventing inter-turn faults.
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Fuzzy-Logic-Based Vector Control Scheme for Permanent-Magnet Synchronous Motors in Elevator Drive Applications
TL;DR: The proposed fuzzy logic controller was adopted for use in elevator drive systems in order to improve the speed control performance and was compared with a conventional PI controller with respect to speed dynamic responses and load torque.
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Mitigation Method of the Shaft Voltage According to Parasitic Capacitance of the PMSM
TL;DR: In this paper, a shaft voltage mitigation method according to change in parasitic capacitances of a permanent magnet synchronous motor was proposed, and the rotor-to-winding was determined as an appropriate parameter to mitigate the shaft voltage among the parasitic capacities.
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Diagnosis Technique Using a Detection Coil in BLDC Motors With Interturn Faults
TL;DR: A system matrix with an ITF for FEM simulation, which considers the nonlinearity of the ITF, and a circuit that employs the proposed diagnosis algorithm is shown to detect the phase and the location of a fault.
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3-D analysis of permanent magnet linear synchronous motor with magnet arrangement using equivalent magnetic circuit network method
TL;DR: In this paper, the effects of the lateral overhang of magnet are investigated using 3-dimensional equivalent magnetic circuit network (3-D EMCN) method and the analysis results are compared with the experimental ones.