王义



姓        名:  王义

学历学位: 工学博士

技术职务: 副教授

电子邮箱: wycqdx@cqu.edu.cn


                   

个人简历

(1) 工作经历

2017.7-今,重庆大学,mandetx手机登录,硕士、博士研究生导师

(2) 教育经历

2013.3-2017.6 ,西安交通大学,机械工程,工学博士

2011.9-2013.3 ,西安交通大学,机械制造及其自动化,工学硕士

2007.9-2011.7 ,西南交通大学,测控技术与仪器,工学学士

主要研究方向

方向一: 智能信息处理与故障诊断:主要包括大型旋转机械装备非平稳信号处理,无键相阶次跟踪,流形学习,深度学习等;

方向二:关键旋转机械装备剩余寿命预测;

方向三:生物电信号处理技术。

毕业研究生去向

1. 指导的本科毕业设计5人,其中一人已保送至西安交通大学攻读硕士学位;

2. 指导机自实验班本科生发表中科院三区SCI论文一篇,该生已保送至上海交通大学,直接攻读博士学位。

3. 暂无研究生毕业。

主要研究经历、荣誉称号、获奖情况、社会兼职等

(1) 主要研究经历

2016.8-2017.2,香港城市大学,系统工程与工程管理系,副研究员。

(2)  荣誉称号

2016年,获西安交通大学优秀研究生称号;

(3)  获奖情况

2016年,获国家奖学金;

2019年,获西安交通大学优秀博士学位论文奖;

2019年,获陕西省优秀博士学位论文奖。

(4)  学术兼职

1.  IEEE  Transactions on Industrial Informatics(一区)   审稿人

2. Mechanical  Systems and Signal Processing(二区)    审稿人

3.  Journal of Mechanical Science and Technology(四区)  审稿人

4. Measurement (三区)  审稿人

5. IEEE  Access (二区)    审稿人

6. Journal of Low Frequency Noise, Vibration & Active Control (四区)  审稿人

7.《西安交通大学学报》审稿人

公开发表论文(代表作)

        截至目前,申请人以第一作者或通讯作者身份发表学术论文13篇,其中在本领域具有重要学术影响力的期刊《IEEE Transactions on Industrial  Informatics》、《Mechanical Systems and Signal Processing》(MSSP)、《Journal of Sound and Vibration》(JSV)、《Signal Processing》、《Measurement》等发表SCI论文10余篇,国际会议论文1篇。截至目前,所发表的论文已累计被引用230余次,其中单篇最高引用117次。2015年发表于MSSP的SCI论文获评ESI高被引论文(本领域排名前1%)和ESI热点论文(本领域排名前1‰)。此外,2015年发表于JSV的SCI论文曾获评ESI热点论文。

[1] Yi Wang, Baoping Tang, Yi Qin, Tao Huang. Rolling Bearing Fault Detection of Civil Aircraft Engine Based on Adaptive Estimation of Instantaneous Angular Speed, IEEE Transactions on Industrial Informatics, 2019. (论文已online,中科院一区SCI期刊,IF: 7.3)


[2] Yi Wang, Guanghua Xu, Lin Liang ,Kuosheng Jiang. Detection of weak transient signals based on wavelet packet transform and manifold learning for rolling element bearing fault diagnosis , Mechanical Systems and Signal Processing, 54-55C (2015) pp. 259-276.(ESI高被引论文,论文已被引用110余次


[3] Wang Yi*, Peter W. Tse, Baoping Tang, Yi Qin, et al. Order spectrogram visualization for rolling bearing fault detection under speed variation conditions. Mechanical Systems and Signal Processing, 2019, 122: 580-596.


[4] Yi Wang, Guanghua Xu, Dan Liu, Kuosheng Jiang. Rotating speed isolation and its application to rolling element bearing fault diagnosis under large speed variation conditions, Journal of Sound and Vibration, 348 (2015) 381–396. (ESI热点论文)


[5] Yi Wang, Guanghua Xu. An online tacholess order tracking technique based on generalized demodulation for rolling bearing fault detection, Journal of Sound and Vibration, 367 (2016) 233–249.


[6] Yi Wang,Guanghua Xu, EEG signal co-channel interference suppression based on image dimensionality reduction and permutation entropy[J]. Signal Processing, 2016, 134: 113-122.


[7] Yi Wang, Baoping Tang, Lihua Meng, Bingchang Hou. Adaptive estimation of instantaneous angular speed for wind turbine planetary gearbox fault detection, Adaptive estimation of instantaneous angular speed for wind turbine planetary gearbox fault detection, IEEE Access, 2019.


[8] Yi Wang, W. Peter Tse, Baoping Tang, Yi Qin, Lei Deng, Tao Huang. Kurtogram manifold learning and its application to rolling bearing weak signal detection[J]. Measurement, 2018.


[9] Bingchang Hou, Yi Wang*, Baoping Tang, Yi Qin, et al. A tacholess order tracking method for wind turbine planetary gearbox fault detection. Measurement, 2019.


[10] Yi Wang, Guanghua Xu. An image dimensionality reduction method for rolling bearing fault diagnosis based on singular value decomposition, Journal of Mechanical Engineering Science, Journal of Mechanical Engineering Science.


[11] Yi Wang, Yong Xie, Guanghua Xu, A tacholess order tracking approach for wind turbine gearbox fault detection. Frontiers of Mechanical Engineering, 2017, 12(3): 427-439.


[12] Yi Wang, Lin Liang, Guanghua Xu, Image dimensionality reduction based noise suppression for period fault identification in rotating machinery, 27th International Congress of Condition Monitoring and Diagnostic Engineering, Sep. 15 - Sep. 18 , 2014, Brisbane, Australia.


[13] Yi Wang, Bingchang Hou, Baoping Tang, et al. Adaptive tacho information estimation for surveillance of rotatory machine under nonstationary conditions, SURVISHNO Conference, July. 8- July. 12, 2019, Lyon, France.

寄语

        热忱欢迎热爱科研并且对我的研究方向感兴趣的同学加入,与我一起攻坚克难,一同成长!也欢迎各位同仁与我交流,互相促进,携手前行!