Kim, Ji-Young; Rehman, Abdul; Ryu, Hyemin; Oh, Injong; Sim, Gi-Dong, Materials Science and Engineering: A, v.912, 2024-10
Ryu, Hyemin; Lee, Zhuo Feng; Kim, Ji-Young; Choi, Sunkun; Sim, Gi-Dong, Scripta Materialia, v.250, pp.116189, 2024-09
Bae, Junhyuk; Giorgio Ghilardi; Jeong, Sangkwon, Cryogenics, v.142, pp.103886, 2024-09
Yoon, Siwon; Seo, Junyong; Jung, Junbo; Choi, Minwoo; Lee, Bong Jae; Kim, Joong Bae, INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, v.227, 2024-08
Kim, Ki Jong; Kim, Daegyoum, OCEAN ENGINEERING, 2024-07
Lee, Gil-Yong; Park, Kangjae; Lim, Dae-Guen; Park, Yong-Hwa, JOURNAL OF SOUND AND VIBRATION, v.582, 2024-07
Ma, Yupeng; Pan, Zhenyu; Liu, Yifei; Zhao, Kunpeng; Xiao, Jie; Nam, Donguk; Wei, Tian-Ran; Shi, Xun, MATERIALS TODAY ENERGY, v.43, 2024-07
Lee, Juyoung; Lee, Min Gyu; Lee, Bong Jae; Lee, Ikjin, KNOWLEDGE-BASED SYSTEMS, v.295, 2024-07
Lee, Sumi; Hwang, Jinyul; Ahn, Song Ih, TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B, v.48, no.7, pp.455 - 462, 2024-07
Ham, Junkyu; Song, Minho; Yoo, Janggon; Kim, Daegyoum, JOURNAL OF FLUIDS AND STRUCTURES, 2024-06
A Novel Unsupervised Clustering and Domain Adaptation Framework for Rotating Machinery Fault Diagnosis Kim, Taewan; Lee, Seungchul, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v.19, no.9, pp.9404 - 9412, 2023-09 |
정비 자료 디지털 변환을 위한 영상 인식 알고리듬: CNN and FCN 이강산; 나주원; 손종덕; 손석만; 이승철, 한국소음진동공학회논문집, v.30, no.2, pp.136 - 142, 2020-04 |
규칙기반과 딥러닝을 동시에 활용한 앙상블 회전체 이상진단 이남정; 김성민; 정일주; 이승철, 한국소음진동공학회논문집, v.30, no.2, pp.129 - 135, 2020-04 |
물리기반 인공신경망을 활용한 리튬이온 전지 열화 예측 김승욱; 오기용; 이승철, 한국소음진동공학회논문집, v.31, no.2, pp.177 - 184, 2021-04 |
Predicting multipotency of human adult stem cells derived from various donors through deep learning Kim, Hyeonji; Park, Keonhyeok; Yon, Jung-Min; Kim, Sung Won; Lee, Soo Young; Jeong, Iljoo; Jang, Jinah; et al, SCIENTIFIC REPORTS, v.12, no.1, 2022-12 |
Online Degradation Assessment and Adaptive Fault Detection Using Modified Hidden Markov Model Lee, Seungchul; Li, Lin; Ni, Jun, JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, v.132, no.2, 2010-04 |
Source Contribution Evaluation of Mechanical Vibration Signals via Enhanced Independent Component Analysis Cheng, Wei; Zhang, Zhousuo; Lee, Seungchul; He, Zhengjia, JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, v.134, no.2, 2012-04 |
Independent component analysis based source number estimation and its comparison for mechanical systems Cheng, Wei; Lee, Seungchul; Zhang, Zhousuo; He, Zhengjia, JOURNAL OF SOUND AND VIBRATION, v.331, no.23, pp.5153 - 5167, 2012-11 |
Joint decision making for maintenance and production scheduling of production systems Lee, Seungchul; Ni, Jun, INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, v.66, no.5-8, pp.1135 - 1146, 2013-05 |
Optimal maintenance policy for multi-component systems under Markovian environment changes Zhang, Zhuoqi; Wu, Su; Li, Binfeng; Lee, Seungchul, EXPERT SYSTEMS WITH APPLICATIONS, v.40, no.18, pp.7391 - 7399, 2013-12 |
Modified iterative aggregation procedure for maintenance optimisation of multi-component systems with failure interaction Zhang, Zhuoqi; Wu, Su; Lee, Seungchul; Ni, Jun, INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, v.45, no.12, pp.2480 - 2489, 2014 |
Markov chain modelling analysis of HIV/AIDS progression: A race-based forecast in the United States Lee, Seungchul; Ko, J.; Tan, Xi; Patel, Isha; Balkrishnan, R.; Chang, J., INDIAN JOURNAL OF PHARMACEUTICAL SCIENCES, v.76, no.2, pp.107 - 115, 2014-03 |
Investigations of denoising source separation technique and its application to source separation and identification of mechanical vibration signals Cheng, Wei; Zhang, Zhousuo; Lee, Seungchul; He, Zhengjia, JOURNAL OF VIBRATION AND CONTROL, v.20, no.14, pp.2100 - 2117, 2014-10 |
A Degradation-Informed Battery-Swapping Policy for Fleets of Electric or Hybrid-Electric Vehicles Almuhtady, Ahmad; Lee, Seungchul; Romeijn, Edwin; Wynblatt, Michael; Ni, Jun, TRANSPORTATION SCIENCE, v.48, no.4, pp.609 - 618, 2014-11 |
Vibration response mechanism of faulty outer race rolling element bearings for quantitative analysis Cui, Lingli; Zhang, Yu; Zhang, Feibin; Zhang, Jianyu; Lee, Seungchul, JOURNAL OF SOUND AND VIBRATION, v.364, pp.67 - 76, 2016-03 |
Wavelet-like convolutional neural network structure for time-series data classification Park, Seungtae; Jeong, Haedong; Min, Hyungcheol; Lee, Hojin; Lee, Seungchul, SMART STRUCTURES AND SYSTEMS, v.22, no.2, pp.175 - 183, 2018-08 |
Special issue on Prognostics and Health Management (PHM) in Smart Structures and Systems Preface Park, Gyuhae; Lee, Seungchul; Gogu, Christian; Hu, Chao, SMART STRUCTURES AND SYSTEMS, v.22, no.2, pp.I - I, 2018-08 |
A Neural Network Model for Material Degradation Detection and Diagnosis Using Microscopic Images Choi, Woosung; Huh, Hyunsuk; Tama, Bayu Adhi; Park, Gyusang; Lee, Seungchul, IEEE ACCESS, v.7, pp.92151 - 92160, 2019 |
Fault detection and identification method using observer-based residuals Jeong, Haedong; Park, Bumsoo; Park, Seungtae; Min, Hyungcheol; Lee, Seungchul, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.184, pp.27 - 40, 2019-04 |
Artificial intelligence in the field of electrodiagnosis - A new threat or heralding a new era in electromyography? Jeon, Juhyeong; Han, Yeon Jae; Park, Geun-Young; Sohn, Dong Gyun; Lee, Seungchul; Im, Sun, CLINICAL NEUROPHYSIOLOGY, v.130, no.10, pp.1995 - 1996, 2019-10 |
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