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Hyeongmin Kim
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A health image for deep learning-based fault diagnosis of a permanent magnet synchronous motor under variable operating conditions: Instantaneous current residual map
CH Park, H Kim, C Suh, M Chae, H Yoon, BD Youn
Reliability Engineering & System Safety 226, 108715, 2022
302022
Drive-tolerant current residual variance (DTCRV) for fault detection of a permanent magnet synchronous motor under operational speed and load torque conditions
CH Park, J Lee, H Kim, C Suh, M Youn, Y Shin, SH Ahn, BD Youn
IEEE Access 9, 49055-49068, 2021
102021
MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines
H Kim, CH Park, C Suh, M Chae, H Yoon, BD Youn
Journal of Computational Design and Engineering 10 (2), 860-872, 2023
72023
Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data
H Kim, JU Ko, K Na, H Lee, H Kim, J Son, H Yoon, BD Youn
Expert Systems with Applications 215, 119377, 2023
32023
Stator current operation compensation (SCOC): A novel preprocessing method for deep learning-based fault diagnosis of permanent magnet synchronous motors under variable …
H Kim, CH Park, C Suh, M Chae, HJ Oh, H Yoon, BD Youn
Measurement 221, 113446, 2023
22023
Self-supervised feature learning for motor fault diagnosis under various torque conditions
SK Lee, H Kim, M Chae, HJ Oh, H Yoon, BD Youn
Knowledge-Based Systems 288, 111465, 2024
2024
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Articles 1–6