| Crack detection technique for operating wind turbine blades using Vibro-Acoustic Modulation S Kim, DE Adams, H Sohn, G Rodriguez-Rivera, N Myrent, R Bond, ... Structural Health Monitoring 13 (6), 660-670, 2014 | 57 | 2014 |
| Crack detection on wind turbine blades in an operating environment using vibro-acoustic modulation technique S Kim, DE Adams, H Sohn AIP conference proceedings 1511 (1), 286-293, 2013 | 12 | 2013 |
| Ensemble Method using Rule-based and Deep-learning Algorithms for Rotating-machine Diagnostics N Lee, S Kim, I Jeong, S Sohn, S Lee Trans. Korean Soc. Noise Vib. Eng 30 (2), 129-135, 2020 | 4* | 2020 |
| Validation of vibroacoustic modulation of wind turbine blades for structural health monitoring using operational vibration as a pumping signal S Kim, DE Adams, H Sohn, G Rodriguez-Rivera, J Vitek, S Carr, A Grama 9th International Workshop on Structural Heath Monitoring, 2013 | 4 | 2013 |
| Preference-based multi-robot planning for nuclear power plant online monitoring and diagnostics A Hesu, S Kim, F Zhang Nuclear Science and Engineering, 1-18, 2023 | 2 | 2023 |
| A nuclear power plant digital twin for developing robot navigation and interaction H Vairagade, S Kim, H Son, F Zhang Frontiers in Energy Research 12, 1356624, 2024 | | 2024 |
| Cyber-Attack Detection and Distinguish System for Nuclear Power Plants S Kim, F Yoo, Stephen, Zhang 13th Nuclear Plant Instrumentation, Control & Human-Machine Interface …, 2023 | | 2023 |
| Out-of-Distribution Detection with Human Action Recognition to Classify Dangerous Behavior in Industrial Workplace J Lee, J Park, S Kim, S Sohn, S Lee the Korean Society of Mechanical Engineers Spring Meeting, 8-8, 2022 | | 2022 |
| Deep Learning-based Human Action Recognition to Prevent Industrial Workplace Accident in Real-Time J Lee, C Choi, J Park, S Kim, S Sohn, S Lee 대한기계학회 춘추학술대회, 597-598, 2021 | | 2021 |
| Deep Learning-based Human Action Recognition to Prevent Industrial Workplace Accidents J Lee, C Choi, J Park, S Kim, S Sohn, S Lee 대한기계학회 춘추학술대회, 120-120, 2021 | | 2021 |
| 발전소 회처리 송풍기의 IoT 기반 감시진단 시스템 개발 손석만， 김성민， 김희수， 손종덕 한국소음진동공학회 학술대회논문집, 312-312, 2020 | | 2020 |
| 궤도 모양과 크기를 고려한 회전체 진단 딥러닝 기술 이남정， 정일주， 김성민， 손석만， 이승철 한국소음진동공학회 학술대회논문집, 210-210, 2020 | | 2020 |
| 설명가능한 딥러닝기술 기반 회전체 진단 타당성 검증 이승철， 정일주， 이남정， 김성민， 손석만 한국소음진동공학회 학술대회논문집, 291-291, 2020 | | 2020 |
| 터빈 블레이드 균열에 의한 진동특성 변화 김성민， 손종덕， 김재동， 배용채 한국소음진동공학회 학술대회논문집, 211-211, 2020 | | 2020 |
| 텍스트마이닝을 이용한 발전소 전문가 DB 구축 김성민， 손석만， 김희수， 배용채， 김재동， 유영욱 한국소음진동공학회 학술대회논문집, 117-117, 2019 | | 2019 |
| 규칙 기반과 딥러닝을 동시에 활용한 앙상블 회전체 이상 진단 이승철， 이남정， 정일주， 김성민， 손석만 한국소음진동공학회 학술대회논문집, 363-363, 2019 | | 2019 |
| 249 管群拘束による流力弾性振動防止の研究: ピッチ比 1.33 と 2.0 の比較 太田和秀， 金聖民， 村江祥太 Dynamics & Design Conference 2011, _249-1_-_249-10_, 2011 | | 2011 |
| 249 管群拘束による流力弾性振動防止の研究: ピッチ比 1.33 と 2.0 の比較 (直交流による流体関連振動のメカニズムと計測制御, OS-22 流体関連振動・音響のメカニズムと計測制御, 総合テーマ:「部門創設 25 … 太田和秀， 金聖民， 村江祥太 機械力学・計測制御講演論文集 2011, 47, 2011 | | 2011 |
| E42 管群拘束による流力弾性振動防止 (E4 振動・騒音の低減) 金聖民， 村江祥太， 太田和秀 日本機械学会九州支部講演論文集 2011.64, 185-186, 2011 | | 2011 |
