| 2014-11 | A Degradation-Informed Battery-Swapping Policy for Fleets of Electric or Hybrid-Electric Vehicles | Almuhtady, Ahmad; Lee, Seungchul; Romeijn, Edwin; Wynblatt, Michael; Ni, Jun | ARTICLE | 947 |
| 2018-02 | Deep learning applications in manufacturing: Sound-based fault detection and human motion recognition | Lee, Seungchul; Kim, Suhyun | Master's thesis | 644 |
| 2016-11-15 | Deep Learning based Diagnostics for Rotating Machinery on Orbit Analysis | Jeong, Haedong; Park, Seungtae; Lee, Seungchul | CONFERENCE | 36 |
| 2016-10-05 | Deep Learning based Diagnostics of Orbit Patterns in rotating machinery | Jeong, Haedong; Woo, Sunhee; Kim, Suhyun; Park, Seungtae; Kim, Heechang; Lee, Seungchul | CONFERENCE | 52 |
| 2013-10 | Discovery of hidden maintenance opportunities in automotive assembly lines: MOW and GMOW | Lee, Seungchul; Gu, Xi; Garcellano, Mark; Diederichs, Mark; Ni, Jun | ARTICLE | 585 |
| 2017-07 | Experimental Study on Mechanical Properties of Single- and Dual-material 3D Printed Products | Kim, Heechang; Park, Eunju; Kim, Suhyun; Park, Bumsoo; Kim, Namhun; Lee, Seungchul | ARTICLE | 150 |
| 2012 | Genetic Algorithm for Job Scheduling with Maintenance Consideration in Semiconductor Manufacturing Process | Lee, Seungchul; Ni, Jun | ARTICLE | 703 |
| 2013-09 | Hidden maintenance opportunities in discrete and complex production lines | Gu, Xi; Lee, Seungchul; Liang, Xinran; Garcellano, Mark; Diederichs, Mark; Ni, Jun | ARTICLE | 613 |
| 2012-11 | Independent component analysis based source number estimation and its comparison for mechanical systems | Cheng, Wei; Lee, Seungchul; Zhang, Zhousuo; He, Zhengjia | ARTICLE | 787 |
| 2014-10 | 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 | ARTICLE | 669 |
| 2013-05 | Joint decision making for maintenance and production scheduling of production systems | Lee, Seungchul; Ni, Jun | ARTICLE | 653 |
| 2016-12-16 | Machine Learning and Data Visualization in Manufacturing | Lee, Seungchul | CONFERENCE | 30 |
| 2017-02 | Machine Learning Toolbox and PCA Visualization for Data-Driven PHM | Lee, Seungchul; Woo, Sunhee | Master's thesis | 605 |
| 2014-03 | Markov chain modelling analysis of HIV/AIDS progression: A race-based forecast in the United States | Lee, Seungchul; Ko, J.; Tan, X.; Patel, I.; Balkrishnan, R.; Chang, J. | ARTICLE | 605 |
| 2013-06 | Markov-Based Maintenance Planning Considering Repair Time and Periodic Inspection | Lee, Seungchul; Li, Lin; Ni, Jun | ARTICLE | 631 |
| 2014-05 | Matching pursuit of an adaptive impulse dictionary for bearing fault diagnosis | Cui, Lingli; Wang, Jing; Lee, Seungchul | ARTICLE | 868 |
| 2018-02 | Mechanical Properties Assessment and Reliability Verification for FDM 3D Printed Products | Lee, Seungchul; Kim, Hee-Chang | Master's thesis | 505 |
| 2014-12 | Modified iterative aggregation procedure for maintenance optimisation of multi-component systems with failure interaction | Zhang, Zhuoqi; Wu, Su; Lee, Seungchul; Ni, Jun | ARTICLE | 809 |
| 2015-04 | (n, N) type maintenance policy for multi-component systems with failure interactions | Zhang, Z.; Wu, S.; Li, B.; Lee, Seungchul | ARTICLE | 808 |
| 2010-04 | Online Degradation Assessment and Adaptive Fault Detection Using Modified Hidden Markov Model | Lee, Seungchul; Li, Lin; Ni, Jun | ARTICLE | 654 |
