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Shibin WANG/王诗彬
Shibin WANG/王诗彬
在 mail.xjtu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Matching demodulation transform and synchrosqueezing in time-frequency analysis
S Wang, X Chen, G Cai, B Chen, X Li, Z He
IEEE Transactions on Signal Processing 62 (1), 69-84, 2014
2652014
Transient modeling and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis
S Wang, W Huang, ZK Zhu
Mechanical Systems and Signal Processing 25 (4), 1299-1320, 2011
2172011
Nonconvex sparse regularization and convex optimization for bearing fault diagnosis
S Wang, I Selesnick, G Cai, Y Feng, X Sui, X Chen
IEEE Transactions on Industrial Electronics 65 (9), 7332-7342, 2018
2042018
Enhanced sparse period-group lasso for bearing fault diagnosis
Z Zhao, S Wu, B Qiao, S Wang, X Chen
IEEE Transactions on Industrial Electronics 66 (3), 2143-2153, 2019
1842019
Time-reassigned synchrosqueezing transform: The algorithm and its applications in mechanical signal processing
D He, H Cao, S Wang, X Chen
Mechanical Systems and Signal Processing 117, 255-279, 2019
1802019
Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis
R Liu, B Yang, X Zhang, S Wang, X Chen
Mechanical Systems and Signal Processing 75, 345-370, 2016
1772016
Matching synchrosqueezing wavelet transform and application to aeroengine vibration monitoring
S Wang, X Chen, C Tong, Z Zhao
IEEE Transactions on Instrumentation and Measurement 66 (2), 360-372, 2017
1652017
Matching synchrosqueezing transform: A useful tool for characterizing signals with fast varying instantaneous frequency and application to machine fault diagnosis
S Wang, X Chen, IW Selesnick, Y Guo, C Tong, X Zhang
Mechanical Systems and Signal Processing 100, 242-288, 2018
1562018
Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection
H Liu, W Huang, S Wang, Z Zhu
Signal Processing 96, 118-124, 2014
1472014
Basic research on machinery fault diagnostics: Past, present, and future trends
X Chen, S Wang, B Qiao, Q Chen
Frontiers of Mechanical Engineering, 1-28, 2018
1422018
Detection of rub-impact fault for rotor-stator systems: A novel method based on adaptive chirp mode decomposition
S Chen, Y Yang, Z Peng, S Wang, W Zhang, X Chen
Journal of Sound and Vibration 440 (3), 83-99, 2019
1262019
Matching demodulation transform with applications to feature extraction of rotor rub-impact fault
S Wang, X Chen, G Li, X Li, Z He
IEEE Transactions on Instrumentation and Measurement 63 (5), 1372-1383, 2014
992014
Nonlinear squeezing time-frequency transform for weak signal detection
S Wang, X Chen, Y Wang, G Cai, B Ding, X Zhang
Signal Processing 113, 195-210, 2015
942015
Sparsity-enhanced signal decomposition via generalized minimax-concave penalty for gearbox fault diagnosis
G Cai, I Selesnick, S Wang, W Dai, Z Zhu
Journal of Sound and Vibration 432, 213-234, 2018
752018
A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis
Z Zhao, B Qiao, S Wang, Z Shen, X Chen
Journal of Sound and Vibration 446, 429-452, 2019
732019
Transient signal analysis based on Levenberg-Marquardt method for fault feature extraction of rotating machines
S Wang, G Cai, Z Zhu, W Huang, X Zhang
Mechanical Systems and Signal Processing 54, 16-40, 2015
702015
Conditional adversarial domain generalization with a single discriminator for bearing fault diagnosis
Q Zhang, Z Zhao, X Zhang, Y Liu, C Sun, M Li, S Wang, X Chen
IEEE Transactions on Instrumentation and Measurement 70, 1-15, 2021
602021
Model-driven deep unrolling: Towards interpretable deep learning agianst noise attacks for intelligent fault diagnosis
Z Zhao, T Li, B An, S Wang, B Ding, R Yan, X Chen
ISA Transactions, 2022
572022
An Adaptive On-line Blade Health Monitoring Method: from Raw Data to Parameters Identification.
S Wu, P Russhard, R Yan, S Tian, S Wang, Z Zhao, X Chen
IEEE Transactions on Instrumentation and Measurement, 2020
572020
Synthesis versus analysis priors via generalized minimax-concave penalty for sparsity-assisted machinery fault diagnosis
S Wang, I Selesnick, G Cai, B Ding, X Chen
Mechanical Systems and Signal Processing 127, 202-233, 2019
542019
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