王俊

栏目:测试计量技术及仪器/交通信息工程及控制  发布时间:2018-06-02

个人信息:

男,博士

副教授、硕士生导师

苏州大学优秀青年学者


教育与工作经历:

2017.7-现在      苏州大学,轨道交通学院,优秀青年学者(副教授)

2015.7-2017.6   美国内布拉斯加大学林肯分校,电气与计算机工程系,博士后研究员/高级研究助理

2010.9-2015.6   中国科学技术大学,精密机械与精密仪器系,工学博士

2006.9-2010.6   武汉理工大学,测控技术与仪器专业,工学学士

2007.9-2010.6   武汉理工大学,工商管理专业,管理学学士(双学位)


研究兴趣

机电系统动态监控、故障诊断与智能维护:

1. 轨道列车在线状态监测与智能维护:轨道交通微弱信号检测,多普勒畸变校正,盲源信号分离,预警控制等

2. 风电设备远程状态监测与寿命预测:监测和控制信号的采集、传输与存储,数据恢复与重构,特征提取与分类等

3. 数据驱动技术:信号处理,数据挖掘,凸优化,模式识别等


荣誉与奖励:

2014.11,力学攀登奖

2014.10,中科院院长优秀奖

2012.12,博士研究生国家奖学金

2012.11,三星奖学金

2011.10,光华奖学金


学术兼职:

江苏省仪器仪表学会会员

江苏省仪器仪表学会故障诊断仪器专业委员会委员

国际电子和电气工程师协会(IEEE)会员

十余种国际权威期刊、国际会议同行评议人


代表论著:

已发表的期刊论文:

[16]  J. Wang, F. Cheng, W. Qiao, L. Qu, Multiscale filtering reconstruction for wind turbine gearbox fault diagnosis under varying-speed and noisy conditions, IEEE Transactions on Industrial Electronics, in press.

[15]  F. Cheng, J. Wang, L. Qu, W. Qiao, Rotor current-based fault diagnosis for DFIG wind turbine drivetrain gearboxes using frequency analysis and a deep classifier, IEEE Transactions on Industry Applications, in press.


[14]  J. Wang, Y.Peng, W. Qiao, J. Hudgins, Bearing fault diagnosis of direct-drive windturbines using multiscale filtering spectrum, IEEE Transactions on IndustryApplications, 53(3), pp. 3029–3038, 2017.

[13]  J. Wang, Y.Peng, W. Qiao, Current-aided order tracking of vibrationsignals for bearing fault diagnosis of direct-drive wind turbines, IEEE Transactions on Industrial Electronics, 63(10), pp. 6336–6346, 2016.

[12]  J. Wang, Q. He, Waveletpacket envelope manifold for fault diagnosis of rolling element bearings, IEEE Transactions on Instrumentation andMeasurement, 65(11), pp. 2515–2526, 2016.

[11]  J. Wang, Q. He, F. Kong, Multiscale envelope manifold for enhanced faultdiagnosis of rotating machines, Mechanical Systems and Signal Processing, 52-53, pp. 376–392, 2015.

[10]  J. Wang, Q. He, F. Kong, Adaptive multiscale noise tuning stochasticresonance for health diagnosis of rolling element bearings, IEEE Transactions onInstrumentation and Measurement, 64(2), pp. 564–577, 2015.

[9]    J. Wang, Q. He, F. Kong, An improved multiscale noise tuning of stochasticresonance for identifying multiple transient faults in rolling element bearings, Journal of Sound and Vibration, 333(26), pp. 7401–7421, 2014.

[8]    J. Wang, Q. He, F. Kong, A new synthetic detection technique for waysideacoustic identification of railroad roller bearing defects, AppliedAcoustics, 85, pp. 69–81, 2014.

[7]    J. Wang, Q. He, Exchanged ridge demodulation of time-scale manifold forenhanced fault diagnosis of rotating machinery, Journal of Sound and Vibration,333(11), pp. 2450–2464, 2014.

[6]    J. Wang, Q. He, F. Kong, Automatic fault diagnosis of rotating machines bytime-scale manifold ridge analysis, Mechanical Systems and Signal Processing,40(1), pp. 237–256, 2013.

[5]    Q. He, J. Wang, F. Hu, F. Kong. Wayside acousticdiagnosis of defective train bearings based on signal resampling andinformation enhancement, Journal of Sound and Vibration, 332(21),pp. 5635–5649, 2013. 

[4]    Q. He, J. Wang, Effects of multiscale noise tuningon stochastic resonance for weak signal detection, Digital Signal Processing,22(4), pp. 614–621, 2012.

[3]    Q. He, J. Wang, Y. Liu, D. Dai, F. Kong,Multiscale noise tuning of stochastic resonance for enhanced fault diagnosis inrotating machines, Mechanical Systems and Signal Processing, 28,pp. 443–457, 2012.

[2]    Q. He, Y. Liu, Q. Long, J. Wang,Time-frequency manifold as a signature for machine health diagnosis, IEEETransactions on Instrumentation and Measurement, 61(5), pp. 1218–1230,2012.

[1]    何清波, 丁晓喜, 王俊, 旋转机械故障时频流形诊断分析研究, 振动与冲击, 33卷第S, 2014.


已发表的会议论文:

[9]    J. Wang, W. Qiao, L. Qu, Wind turbine bearing fault diagnosis based on sparse representation of condition monitoring signals, IEEE Energy Conversion Congress and Exposition (ECCE 2017), Cincinnati, OH, USA, Oct. 1-5, 2017, to appear.

[8]    F. Cheng, J. Wang, L. Qu, W. Qiao, Rotor current-based fault diagnosis for DFIG wind turbine drivetrain gearboxes using frequency analysis and a deep classifier, IEEE Industry Applications Society Annual Meeting, Cincinnati, OH, USA, Oct. 1-5, 2017, to appear.

[7]    Y. Peng, W. Qiao, L. Qu, J. Wang, Sensor fault detection and isolation for a wireless sensor network-based remote wind turbine condition monitoring system, IEEE Industry Applications Society Annual Meeting, Cincinnati, OH, USA, Oct. 1-5, 2017, to appear.


[6]    J. Wang, Y. Peng, W. Qiao, Bearing faultdiagnosis of direct-drive wind turbines using multiscale filtering spectrum, IEEEEnergy Conversion Congress & Exposition (ECCE 2016), Milwaukee, Wisconsin,USA, Sept. 18-22, 2016.

[5]    Y. Peng,W. Qiao, L. Qu, J. Wang, Gearboxfault diagnosis using vibration and current information fusion, IEEE Energy Conversion Congress &Exposition (ECCE 2016), Milwaukee, Wisconsin,USA, Sept. 18-22, 2016.

[4]    J. Wang, Q. He, F. Kong, Multi-scale manifold for machinery fault diagnosis, 8th World Congress on Engineering AssetManagement (WCEAM2013), Hong Kong, China, Oct. 30-Nov. 1, 2013.

[3]    J. Wang, Q. He, F. Kong, Time-scalemanifold and its ridge analysis for machine fault diagnosis, IEEE Prognostics and System Health ManagementConference (PHM-Beijing), Beijing, China, May 23-25, 2012.

[2]    Q. He, J. Wang, Y. Liu, D. Dai, F.Kong, Bearing defect diagnosis by stochastic resonance with parameter tuning, IEEE Prognostics and System Health ManagementConference (PHM-Shenzhen), Shenzhen, China, May 24-25, 2011.

[1]    Q. He, Y. Liu, J. Wang, Jianjun Wang, C.Gong, Time-frequency manifold for gear fault signature analysis, IEEE Instrumentation and MeasurementTechnology Conference (I2MTC), Hangzhou, China, May 10-12, 2011.


书籍章节:

[1]    J. Wang, Q.He, and F. Kong, “Multi-scale manifold for machinery fault diagnosis”, ENGINEERINGASSET MANAGEMENT - SYSTEMS, PROFESSIONAL PRACTICES AND CERTIFICATION, Tse,PW; Mathew, J; Wong, K; Lam, R; Ko, CN, Berlin: Springer-Verlag, pp. 203-214,Germany, 2015.


申请的专利:

[3]    Wei Qiao, Jun Wang,Liyan Qu, Current-aided Vibration Monitoring for Wind Turbine Fault Diagnosis, 美国发明专利(申请日:2017111日)

[2]    何清波,王俊,汪湘湘,一种动态信号分析方法及装置,中国发明专利(申请号:CN201210574917.3; 公开号:CN103064821A

[1]    何清波,王俊,潘媛媛,一种基于多尺度噪声调节的随机共振方法,中国发明专利(授权号:Patent No.: ZL 2012 1 0574917.3


更多信息请参见个人主页:http://web.suda.edu.cn/junking/

和研究所网站:http://mcd.suda.edu.cn/

更新于201710