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Xiao-Sheng Si
Xiao-Sheng Si
Xi'an Institute of High-Tech
在 mails.tsinghua.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
A review of recurrent neural networks: LSTM cells and network architectures
Y Yu, X Si, C Hu, J Zhang
Neural computation 31 (7), 1235-1270, 2019
33802019
Remaining useful life estimation–a review on the statistical data driven approaches
XS Si, W Wang, CH Hu, DH Zhou
European journal of operational research 213 (1), 1-14, 2011
23422011
Remaining useful life estimation based on a nonlinear diffusion degradation process
XS Si, W Wang, CH Hu, DH Zhou, MG Pecht
IEEE Transactions on reliability 61 (1), 50-67, 2012
6502012
Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
Z Zhang, X Si, C Hu, Y Lei
European Journal of Operational Research 271 (3), 775-796, 2018
5462018
A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation
XS Si, W Wang, CH Hu, MY Chen, DH Zhou
Mechanical Systems and Signal Processing 35 (1-2), 219-237, 2013
5172013
A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution
XS Si, W Wang, MY Chen, CH Hu, DH Zhou
European Journal of Operational Research 226 (1), 53-66, 2013
2882013
Remaining useful life prediction of lithium-ion batteries based on the wiener process with measurement error
S Tang, C Yu, X Wang, X Guo, X Si
energies 7 (2), 520-547, 2014
2792014
An adaptive prognostic approach via nonlinear degradation modeling: Application to battery data
XS Si
IEEE Transactions on Industrial Electronics 62 (8), 5082-5096, 2015
2282015
Estimating remaining useful life with three-source variability in degradation modeling
XS Si, W Wang, CH Hu, DH Zhou
IEEE Transactions on Reliability 63 (1), 167-190, 2014
2262014
A maintenance optimization model for mission-oriented systems based on Wiener degradation
C Guo, W Wang, B Guo, X Si
Reliability Engineering & System Safety 111 (3), 183-194, 2013
1572013
A prognostic model based on DBN and diffusion process for degrading bearing
CH Hu, H Pei, XS Si, DB Du, ZN Pang, X Wang
IEEE Transactions on Industrial Electronics 67 (10), 8767-8777, 2019
1392019
A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests
Q Hu, XS Si, QH Zhang, AS Qin
Mechanical systems and signal processing 139, 106609, 2020
1282020
Review of machine learning based remaining useful life prediction methods for equipment
裴洪, 胡昌华, 司小胜, 张建勋, 庞哲楠, 张鹏
Journal of Mechanical Engineering 55 (8), 1-13, 2019
1092019
A State-Space-Based Prognostic Model for Hidden and Age-Dependent Nonlinear Degradation Process
L Feng, H Wang, X Si, H Zou
IEEE Transactions on Automation Science and Engineering, 1-15, 2013
982013
Data-driven remaining useful life prognosis techniques
XS Si, ZX Zhang, CH Hu
National Defense Industry Press and Springer-Verlag GmbH, Beijing, China, 2017
952017
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model
N Li, N Gebraeel, Y Lei, L Bian, X Si
Reliability Engineering & System Safety 186, 88-100, 2019
902019
A residual storage life prediction approach for systems with operation state switches
XS Si, CH Hu, X Kong, DH Zhou
IEEE Transactions on Industrial Electronics 61 (11), 6304-6315, 2014
892014
A novel lifetime estimation method for two-phase degrading systems
JX Zhang, CH Hu, X He, XS Si, Y Liu, DH Zhou
IEEE Transactions on Reliability 68 (2), 689-709, 2018
882018
An age-and state-dependent nonlinear prognostic model for degrading systems
ZX Zhang, XS Si, CH Hu
IEEE Transactions on Reliability 64 (4), 1214-1228, 2015
882015
An additive Wiener process-based prognostic model for hybrid deteriorating systems
ZQ Wang, CH Hu, W Wang, XS Si
IEEE Transactions on Reliability 63 (1), 208-222, 2014
862014
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