H
Hyung-Woo Lee
Researcher at Korea National University of Transportation
Publications - 133
Citations - 1887
Hyung-Woo Lee is an academic researcher from Korea National University of Transportation. The author has contributed to research in topics: Torque & Linear induction motor. The author has an hindex of 19, co-authored 129 publications receiving 1588 citations. Previous affiliations of Hyung-Woo Lee include Cornell University & Texas A&M University.
Papers
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Review of maglev train technologies
Hyung-Woo Lee,Ki-Chan Kim,Ju Lee +2 more
TL;DR: In this article, the authors summarized Maglev train technologies from an electrical engineering point of view and assimilated the results of works over the past three decades carried out all over the world.
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A Study on the Optimal Rotor Design of LSPM Considering the Starting Torque and Efficiency
Won Ho Kim,Ki-Chan Kim,Seung-Joo Kim,Dong-Woo Kang,Sung-Chul Go,Hyung-Woo Lee,Yon-Do Chun,Ju Lee +7 more
TL;DR: This paper presents the optimal rotor design method in a single-phase line-start permanent magnet motor (LSPM) considering the starting torque and efficiency and the performance of the optimal model is compared with those of conventional models.
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A Study of Non-Symmetric Double-Sided Linear Induction Motor for Hyperloop All-In-One System (Propulsion, Levitation, and Guidance)
TL;DR: This paper proposes an all-in-one system for hyperloop that conducts propulsion, levitation, and guidance using a non-symmetric double-sided linear induction motor (NSDLIM).
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The Internal Fault Analysis of Brushless DC Motors Based on the Winding Function Theory
TL;DR: A new approach to analyze the stator inter-turn fault of a brushless dc motor, utilizing both the finite-element method (FEM) and computer simulation based on dynamic equations to avoid expensive failures that might occur to the machine in the near future.
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Practical control for improving power density and efficiency of the BLDC generator
TL;DR: In this paper, the authors presented an advanced control technique for maximizing power density and efficiency of the brushless dc generator by using a linear tracking method and also suggested a sub-optimal control method in practical applications.