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Pin Li
Pin Li
PhD candidate of Mechanical Engineering, University of Cincinnati
Verified email at mail.uc.edu
Title
Cited by
Cited by
Year
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
6672017
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
1052018
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
942018
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
402019
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
292020
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
112019
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
32021
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
32019
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Articles 1–8