论文

[41] Adversarial algorithm unrolling network for interpretable mechanical anomaly detection.

Botao An, Shibin Wang*, Fuhua Qin, Zhibin Zhao, Ruqiang Yan, Xuefeng Chen.

IEEE Transactions on Neural Network and Learning Systems, 2023, Accepted. DOI: 10.1109/TNNLS.2023.3250664

[40] Instantaneous frequency band and synchrosqueezing in time-frequency analysis.

Shaowen Chen, Shibin Wang*, Botao An, Ruqiang Yan, Xuefeng Chen.

IEEE Transactions on Signal Processing, 71, 539-554, 2023.

[39] Reassignment-enable reweighted sparse time-frequency analysis for sparsity-assisted aero-engine rub-impact fault diagnosis.

Shibin Wang*, Chuanyi Cheng, Jianghan Zhou, Fuhua Qin, Yining Feng, Baoqing Ding, Zhibin Zhao, Xuefeng Chen.

Mechanical Systems and Signal Processing, 183, 109602, 2023. 

[38] Interpretable neural networl via algorithm unrolling for mechanical fault diagnosis.

Botao An, Shibin Wang*, Zhibin Zhao, Fuhua Qin, Ruqiang Yan, Xuefeng Chen.

IEEE Transactions on Instrumentation and Measurement, 71, 3517011, 2022. 

[37] Model-driven deep unrolling: Towards interpretable deep learning agianst noise attacks for intelligent fault diagnosis.

Zhibin Zhao, Tianfu Li, Botao An, Shibin Wang*, Baoqing Ding, Ruqiang Yan, Xuefeng Chen.

ISA Transactions, ISA Transactions, 129, 644-662, 2022. 

[36] Fast Sparsity-assisted signal decomposition with non-convex enhancement for bearing fault diagnosis.

Zhibin Zhao, Shibin Wang*, David Wong, Wendong Wang, Ruqiang Yan, Xuefeng Chen.

IEEE/ASME Transactions on Mechatronics, 27(4), 2333-2344, 2022. 

[35] Helicopter health and usage monitoring system in China.

Shibin Wang*, Chaowei Tong, Zhiyu Tao, Ruqiang Yan, Xuefeng Chen.

IEEE Instrumentation & Measurement Magazine, 25(2), 45-52, 2022. 

[34] Low-dimensional multi-scale Fisher discriminant dictionary learning for intelligent gear-fault diagnosis.

Li Zhou, Shibin Wang*, Zhibin Zhao, Gaigai Cai, Ruqiang Yan, Xuefeng Chen.

Measurement Science and Technology, 32(8), 084001, 2021. 

[33] Ridge-aware weighted sparse time-frequency representation.

Chaowei Tong, Shibin Wang*, Ivan Selesnick, Ruqiang Yan, Xuefeng Chen.

IEEE Transactions on Signal Processing, 69, 136-149, 2021. 

[33] Adaptive robust noise modeling of sparse representation for bearing fault diagnosis.

Botao An, Shibin Wang*, Ruqiang Yan, Weihua Li, Xuefeng Chen.

IEEE Transactions on Instrumentation and Measurement,  70,3505412, 2021. 

[32] Robust enhanced trend filtering with unknown noise.

Zhibin Zhao, Shibin Wang*, David Wong, Chuang Sun, Ruqiang Yan, Xuefeng Chen.

Signal Processing, 180, 177889, 2021. 

[31] Reweighted generalized minimax-concave regularization for sparsity-assisted machinery fault diagnosis.

Gaigai Cai, Shibin Wang*, Xuefeng Chen, Junjie Ye, Ivan Selesnick.

ISA Transactions, 105, 320-334, 2020. 

[30] Sparse-assisted fault feature enhancement: Algorithm-aware versus model-aware.

Zhibin Zhao, Shibin Wang*, Weixin Xu, Shuming Wu, David Wong, Xuefeng Chen.

IEEE Transactions on Instrumentation and Measurement, 69(9), 7004-7014, 2020. 

[29] Sparse Multi-period group lasso for bearing multi-fault diagnosis.

Zhibin Zhao, Shibin Wang*, Chuang Sun, Ruqiang Yan, Xuefeng Chen.

IEEE Transactions on Instrumentation and Measurement, 69 (2), 419-431, 2020. 

[28] Sparsity-assisted bearing fault diagnosis using multiscale period group lasso.

Botao An, Zhibin Zhao, Shibin Wang, Shaowen Chen, Xuefeng Chen*. 

ISA Transactions, 98, 338-348, 2020. 

[27] Hierarchical hyper-Laplacian prior for weak fault feature enhancement. 

Zhibin Zhao, Shibin Wang*, Botao An, Yanjie Guo, Xuefeng Chen. 

ISA Transactions, 96, 429-443, 2020. 

[26] Synthesis versus analysis priors via generalized minimax-concave penalty for sparsity-assisted machinery fault diagnosis. 

Shibin Wang, Ivan W. Selesnick, Gaigai Cai, Baoqing Ding, Xuefeng Chen*. 

Mechanical Systems and Signal Processing, 127, 202-233, 2019. 

[25] A Weighted multi-scale dictionary learning model for its applications on bearing fault diagnosis.

Zhibin Zhao, Baijie Qiao, Shibin Wang, Zhixian Shan, Xuefeng Chen*.

Journal of Sound and Vibration, 446, 429-452, 2019. 

[24] Enhanced sparse period-group lasso for bearing fault diagnosis. (ESI Highly Cited Paper)

Zhibin Zhao, Shuming Wu, Baijie Qiao, Shibin Wang, Xuefeng Chen*. 

IEEE Transactions on Industrial Electronics, 66(3), 2143-2153, 2019. 

[23] Vector minimax concave penalty for sparse representation.

Shibin Wang, Xuefeng Chen*, Weiwei Dai, Ivan Selesnick, Gaigai Cai,  Benjamin Cowen.

Digital Signal Processing, 83, 165-179, 2018. 

[22] Sparsity-enhanced signal decomposition via generalized minimax-concave penalty for gearbox fault diagnosis.

Gaigai Cai, Ivan Selesnick, Shibin Wang*, Weiwei Dai, Zhongkui Zhu.

Journal of Sound and Vibration, 432, 213-234, 2018. 

[21] Nonconvex sparse regularization and convex optimization for bearing fault diagnosis. (ESI Highly Cited Paper)

Shibin Wang, Ivan W. Selesnick, Gaigai Cai, Yining Feng, Xin Sui, Xuefeng Chen*. 

IEEE Transactions on Industrial Electronics, 65(9), 7332-7342, 2018.

[20] Matching synchrosqueezing transform: A useful tool for characterizing signals with fast varying instantaneous frequency and application to machine fault diagnosis. (ESI Highly Cited Paper)

Shibin Wang, Xuefeng Chen*, Ivan W. Selesnick, Yanjie Guo, Chaowei Tong, Xingwu Zhang.

Mechanical Systems and Signal Processing, 100, 242-288, 2018. 

[19]  Basic research on machinery fault diagnostics: Past, present, and future trends.

Xuefeng Chen*, Shibin Wang, Baijie Qiao, Qiang Chen.

Frontiers of Mechanical Engineering, 13(2): 264-291, 2018.

[18] Mechanism of fast time-varying vibration for rotor–stator contact system: with application to fault diagnosis.

Laihao Yang, Xuefeng Chen*, Shibin Wang. 

Journal of Vibration and Acoustics, 140(1), 014501-1, 2018.

[17] A novel amplitude-independent crack identification method for rotating shaft.

Laihao Yang, Xuefeng Chen*, Shibin Wang.

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2018. DOI: 10.1177/0954406217748686.

[16] Matching synchrosqueezing wavelet transform and application to aeroengine vibration monitoring.

Shibin Wang, Xuefeng Chen, Chaowei Tong, Zhibin Zhao. 

IEEE Transactions on Instrumentation and Measurement, 66(2), 360-372, 2017.

[15]  Nonlinear squeezing time-frequency transform and application in rotor rub-impact fault diagnosis. 

Shibin Wang, Laihao Yang, Xuefeng Chen*, Chaowei Tong, Baoqing Ding, Jiawei Xiang. 

ASME Journal of Manufacturing Science and Engineering, 139(10), 101005-1-13, 2017. 

[14] Locally linear embedding on Grassmann manifold for performance degradation assessment of bearings.

Meng Ma, Xuefeng Chen, Xiaoli Zhang, Baoqing Ding, Shibin Wang. 

IEEE Transactions on Reliability, 66(2), 467-477, 2017.

[13] Zoom synchrosqueezing transform and iterative demodulation: Methods with application.

Hongrui Cao, Songtao Xi, Xuefeng Chen, Shibin Wang. 

Mechanical Systems and Signal Processing, 72, 695-711, 2016.

[12]  Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis. (ESI Highly Cited Paper)

Ruonan Liu, Boyuan Yang, Xiaoli Zhang, Shibin Wang, Xuefeng Chen.

Mechanical Systems and Signal Processing, 75, 345-370, 2016.

[11]  Quantitative evaluation on the performance and feature enhancement of stochastic resonance for bearing fault diagnosis.

Guoying Li, Jimeng Li, Shibin Wang, Xuefeng Chen.

Mechanical Systems and Signal Processing, 81, 108-125, 2016.

[10]  Transient signal analysis based on Levenberg-Marquardt method for fault feature extraction of rotating machines. 

Shibin Wang, Gaigai Cai, Zhongkui Zhu*, Weiguo Huang, Xingwu Zhang. 

Mechanical Systems and Signal Processing, 54-55, 14-40, 2015.

[9] Nonlinear squeezing time-frequency transform for weak signal detection.

Shibin Wang, Xuefeng Chen*, Yan Wang, Gaigai Cai, Baoqing Ding, Xingwu Zhang. 

Signal Processing, 113, 195-210, 2015. 

[8] Matching demodulation transform with applications to feature extraction of rotor rub-impact fault.

Shibin Wang, Xuefeng Chen*, Guoying Li, Xiang Li, Zhengjia He. 

IEEE Transactions on Instrumentation and Measurement, 63 (5), 1372-1383, 2014.

[7] Matching demodulation transform and synchrosqueezing in time-frequency analysis. (ESI Highly Cited Paper)

Shibin Wang, Xuefeng Chen*, Gaigai Cai, Binqiang Chen, Xiang Li, Zhengjia He.

IEEE Transactions on Signal Processing, 62(1), 69-84, 2014. 

[6]  Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection.

Haiyang Liu, Weiguo Huang*, Shibin Wang, Zhongkui Zhu. 

Signal Processing, 96, 118-124, 2014.

[5]  Composite damage detection based on redundant second-generation wavelet transform and fractal dimension tomography algorithm of Lamb wave.

Xuefeng Chen*, Xiang Li, Shibin Wang, Zhibo Yang, Binqiang Chen, Zhengjia He.

IEEE Transactions on Instrumentation and Measurement, 62(5), 1354-1363, 2013.

[4]  瞬态成分参数的最小二乘法辨识及其轴承故障特征提取应用.

王诗彬，许佳，朱忠奎．

机械工程学报，48(7), 68-76,2012.

[3]  Transient modeling and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis. (ESI Highly Cited Paper)

Shibin Wang, Weiguo Huang, Z.K. Zhu*. 

Mechanical Systems and Signal Processing, 25(4), 299-1320, 2011.

[2]  Adaptive parameter identification based on Morlet wavelet and application in gearbox gault feature detection.

Shibin Wang, Z. K. Zhu, Yingping He, and Weiguo Huang, 

EURASIP Journal on Advances in Signal Processing, 2010. DOI:10.1155/2010/842879.

[1] 基于瞬态冲击响应参数辨识的轴承故障特征检测.

王诗彬，朱忠奎，王安柱，

振动工程学报，23(4), 445-449, 2010.

  • Book or Chapter

[2] 航空发动机快变信号分析及故障诊断系统.

陈雪峰，王诗彬，曹明.

科学出版社，2022年. ISBN: 9787030743831. 40.2万字.

[1] Xuefeng Chen, Shibin Wang. Matching demodulation transform and its application in machine fault diagnosis, in Structural Health Monitoring, ed: Springer, 2017, pp. 155-202.