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ORCIDHojin Lee 0004
Person information
- affiliation: Pohang University of Science and Technology, Department of Electrical Engineering, Pohang, Korea
Other persons with the same name
- Hojin Lee — disambiguation page
- Hojin Lee 0001
![[0000-0001-8638-2000]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8638-2000")
— Max Planck Institute for Intelligent Systems, Haptic Intelligence Department, Stuttgart, Germany - Hojin Lee 0002 — Ulsan National Institute of Science and Technology, Department of Mechanical Engineering, Ulsan, South Korea
- Hojin Lee 0003 — Osaka University, Department of Information and Physical Sciences, Osaka, Japan
- Hojin Lee 0005 — Agency for Defense Development, AI Autonomy Technology Center, Daejeon, Korea
- Hojin Lee 0006 — Kakao Brain, Seongnam, Korea
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2020 – today
- 2023
[j8]Heonkook Kim, Hojin Lee, Seongyun Kim, Sang Woo Kim:
Attention Recurrent Neural Network-Based Severity Estimation Method for Early-Stage Fault Diagnosis in Robot Harness Cable. Sensors 23(11): 5299 (2023)- 2022
- [j7]Hojin Lee, Jaepil Ban, Sang Woo Kim:
Microgrid Optimal Scheduling Incorporating Remaining Useful Life and Performance Degradation of Distributed Generators. IEEE Access 10: 39362-39375 (2022) - [j6]Heonkook Kim, Hojin Lee, Sang Woo Kim:
Current Only-Based Fault Diagnosis Method for Industrial Robot Control Cables. Sensors 22(5): 1917 (2022) - [j5]Hyeyun Jeong, Hojin Lee, Seongyun Kim, Sang Woo Kim:
Interturn Short Fault Diagnosis Using Magnitude and Phase of Currents in Permanent Magnet Synchronous Machines. Sensors 22(12): 4597 (2022) - [j4]Hojin Lee, Hyeyun Jeong, Seongyun Kim, Sang Woo Kim:
Severity Estimation for Interturn Short-Circuit and Demagnetization Faults through Self-Attention Network. Sensors 22(12): 4639 (2022) - 2021
- [j3]Heonkook Kim, Hyeyun Jeong, Hojin Lee, Sang Woo Kim:
Online and Offline Diagnosis of Motor Power Cables Based on 1D CNN and Periodic Burst Signal Injection. Sensors 21(17): 5936 (2021) - [j2]Hojin Lee, Hyeyun Jeong, Gyogwon Koo, Jaepil Ban, Sang Woo Kim:
Attention Recurrent Neural Network-Based Severity Estimation Method for Interturn Short-Circuit Fault in Permanent Magnet Synchronous Machines. IEEE Trans. Ind. Electron. 68(4): 3445-3453 (2021) - [c1]Seongyun Kim, Hyeyun Jeong, Hojin Lee, Sang Woo Kim:
Detection of Inter-turn Short Circuit Faults in Permanent Magnet Synchronous Motors with Multistrands Windings. IECON 2021: 1-6
2010 – 2019
- 2017
- [j1]Seokbae Moon, Hyeyun Jeong, Hojin Lee, Sang Woo Kim:
Detection and Classification of Demagnetization and Interturn Short Faults of IPMSMs. IEEE Trans. Ind. Electron. 64(12): 9433-9441 (2017)
Coauthor Index
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