Hyeongmin Kim

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Fault Diagnosis

Permanent Magnet Synchronous

Top Venues

J. Comput. Des. Eng.

Expert Syst. Appl.

Reliab. Eng. Syst. Saf.

Knowl. Based Syst.

Publications

Minseok Chae, Hyeongmin Kim, Hye Jun Oh, Chan Hee Park, Chaehyun Suh, Heonjun Yoon, Byeng D. Youn
PCDC: prototype-assisted dual-contrastive learning with depthwise separable convolutional neural network for few-shot fault diagnosis of permanent magnet synchronous motors under new operating conditions. J. Comput. Des. Eng. 11 (3) (2024)
Sang Kyung Lee, Hyeongmin Kim, Minseok Chae, Hye Jun Oh, Heonjun Yoon, Byeng D. Youn
Self-supervised feature learning for motor fault diagnosis under various torque conditions. Knowl. Based Syst. 288 (2024)
Hyeongmin Kim, Jin Uk Ko, Kyumin Na, Hyeonchan Lee, Hee-soo Kim, Jong-Duk Son, Heonjun Yoon, Byeng D. Youn
Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data. Expert Syst. Appl. 215 (2023)
Hyeongmin Kim, Chan Hee Park, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn
MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines. J. Comput. Des. Eng. 10 (2) (2023)
Chan Hee Park, Hyeongmin Kim, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn
A health image for deep learning-based fault diagnosis of a permanent magnet synchronous motor under variable operating conditions: Instantaneous current residual map. Reliab. Eng. Syst. Saf. 226 (2022)
Chan Hee Park, Junmin Lee, Hyeongmin Kim, Chaehyun Suh, Myeongbaek Youn, Yongjin Shin, Sung-Hoon Ahn, Byeng D. Youn
Drive-Tolerant Current Residual Variance (DTCRV) for Fault Detection of a Permanent Magnet Synchronous Motor Under Operational Speed and Load Torque Conditions. IEEE Access 9 (2021)