西安交通大学机械工程学院导师教师师资介绍简介-王诗彬

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王诗彬个人主页 - 王诗彬基本信息

王诗彬，工学博士，副教授，博士生导师

荣誉与奖励
? 国家自然科学基金优秀结题项目
(十佳优秀结题项目，2020)
? 陕西省优秀博士论文(2017)
? 上银优秀机械博士论文银奖(2016)
? 西安交通大学优秀博士论文(2016)
? 江苏省优秀硕士论文(2012)

联系方式
办公地点：交大科技园南一楼北楼529
电子邮箱：wangshibin2008@xjtu.edu.cn
wangshibin2008@gmail.com
所在系所：西安交通大学机械工程学院
航空发动机研究所

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个人简介
王诗彬，博士，副教授，博士生导师。主要研究方向为重大机械装备健康监测与故障诊断、振动信号处理。现主持国家自然科学基金重大研究计划培育项目（2019-2021）、两机专项课题（2020-2024）以及企业横向课题等多项，曾主持国家自然科学基金青年基金1项（2019年结题，在2020年ICFDM会议上被评为十佳优秀结题项目）、中国博士后科学基金面上项目与特别资助项目各1项、陕西省博士后特等资助项目1项，参与国家重点基础研究计划（973）项目“航空发动机运行安全基础研究”（2019年结题，被评为优秀）、国家自然科学基金重点项目“航空发动机燃油控制系统服役安全保障方法研究”（2019-2023）、两机专项课题、直升机HUMS状态指标开发企业合作课题等。
相关研究成果总结发表学术论文50篇，其中第一与通讯作者SCI论文20篇，5篇论文入选本领域近十年ESI TOP 1%高被引论文。论文发表至今引用1500余次、单篇引用最高170次（Google学术统计），其中包括英国皇家工程院院士/IEEE会士S. McLaughlin教授、美国空军研究实验室技术顾问B. Suter博士、美国空军研究实验室技术顾问/IEEE会士B. Himed博士、IEEE会士D. Mandic教授、IEEE/ASME/CIRP会士R. Gao教授、罗罗公司专家Server、GE Aviation专家Saenz等多国****和机构的引用与正面评价。

工作经历
? 2018年7月-至今，西安交通大学，副教授
? 2016年11月-2017年11月，纽约大学，访问****(CSC)，合作导师：Ivan Selesnick教授
? 2015年7月-2018年6月，西安交通大学，讲师、博士后，导师：陈雪峰教授

教育经历
? 2011年9月-2015年6月，西安交通大学，工学博士，导师：陈雪峰教授
? 2008年9月-2011年6月，苏州大学，工学硕士，导师：朱忠奎教授
? 2004年9月-2008年6月，苏州大学，工学学士

代表性论文
论文统计（截止2021.1.12)：发表论文50篇，其中一作与通信SCI论文20篇，5篇论文入选本领域近十年ESI TOP 1%高被引论文，引用1500次以上（Google学术统计）。
[1]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.
[2]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.
[3]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.
[4]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.
[5]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.

Publications（论文发表） - 王诗彬论文

Journal Paper

[33]Ridge-Aware Weighted Sparse Time-Frequency Representation.
Chaowei Tong,Shibin Wang*, Ivan Selesnick,Ruqiang Yan, Xuefeng Chen.
IEEE Transaction on Signal Processing, Accepted.
[33]Adaptive Robust Noise Modeling of Sparse Representation for Bearing Fault Diagnosis.
Botao An,Shibin Wang*,Ruqiang Yan, Weihua Li, Xuefeng Chen.
IEEE Transaction on Instrumentation and Measurement, Accepted.
[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.
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: 10.1177/8686.
[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.
Chapter
[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.