A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox L Jing, M Zhao, P Li, X Xu Measurement 111, 1-10, 2017 | 711 | 2017 |
Sparse filtering with the generalized lp/lq norm and its applications to the condition monitoring of rotating machinery X Jia, M Zhao, Y Di, P Li, J Lee Mechanical Systems and Signal Processing 102, 198-213, 2018 | 115 | 2018 |
Prognosability study of ball screw degradation using systematic methodology P Li, X Jia, J Feng, H Davari, G Qiao, Y Hwang, J Lee Mechanical Systems and Signal Processing 109, 45-57, 2018 | 101 | 2018 |
Thermal characteristics analysis and experimental study of the planetary roller screw mechanism G Qiao, G Liu, S Ma, Y Wang, P Li, TC Lim Applied Thermal Engineering 149, 1345-1358, 2019 | 45 | 2019 |
A novel scalable method for machine degradation assessment using deep convolutional neural network P Li, X Jia, J Feng, F Zhu, M Miller, LY Chen, J Lee Measurement 151, 107106, 2020 | 32 | 2020 |
A novel method for deposit accumulation assessment in dry etching chamber P Li, X Jia, M Sumiya, Y Kamaji, M Ishiguro, L Pahren, J Lee IEEE Transactions on Semiconductor Manufacturing 32 (2), 183-189, 2019 | 11 | 2019 |
Development of An Integrated Framework for Cyber-Physical System (CPS)-Enabled Rehabilitation System J Feng, F Zhu, P Li, H Davari, J Lee International Journal of Prognostics and Health Management 12 (4), 2021 | 6 | 2021 |
A deep learning based method for cutting parameter optimization for band saw machine P Li, J Feng, F Zhu, H Davari, LY Chen, J Lee Annual Conference of the PHM Society 11 (1), 2019 | 3 | 2019 |