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Title
Cited by
Cited by
Year
Motor-current-based electromagnetic interference de-noising method for rolling element bearing diagnosis using acoustic emission sensors
SJ Kim, K Kim, T Hwang, J Park, H Jeong, T Kim, BD Youn
Measurement 193, 110912, 2022
182022
Risk prediction of engineering assets: An ensemble of part lifespan calculation and usage classification methods
H Kim, T Hwang, J Park, H Oh, BD Youn
International Journal of Prognostics and Health Management 5 (2), 2014
62014
Diagnosis and prediction of engineering system status using artificial intelligence
BD Youn, TW Hwang, SH Jo, SH Lee, GM Na
Journal of KSME 57 (3), 38-41, 2017
42017
Health index extraction for ball bearing using defect frequency
T Hwang, K Kim, S Kim, B Jeon, BD Youn
Korean Society for Precision Engineering, 1428-1430, 2016
22016
Robust deep learning-based fault detection of planetary gearbox using enhanced health data map under domain shift problem
T Hwang, JM Ha, BD Youn
Journal of Computational Design and Engineering 10 (4), 1677-1693, 2023
2023
RPM Independent Fault Diagnosis of Rolling Element Bearing
SJ Kim, K Kim, T Hwang, B Jeon, BD Youn
PHM Society Asia-Pacific Conference 1 (1), 2017
2017
Feature Selection Method for Life Prediction in Multiple Degradation Unit: Generalized Rank Mutual Information
T Hwang, K Kim, SJ Kim, B Jeon, BD Youn
PHM Society Asia-Pacific Conference 1 (1), 2017
2017
Four-Stage Degradation Physics of Rolling Element Bearings
K Kim, T Hwang, SJ Kim, B Jeon, BD Youn
PHM Society Asia-Pacific Conference 1 (1), 2017
2017
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