Name: Yi Wang Title: Associate professor Email Address: wyyc@cqu.edu.cn Office Room Number: 7535 Office Tel: None

Background of Education and Work Experience

(1) Education Experience

• 2013.3-2017.6, Xi'an Jiaotong University, Mechanical engineering, Doctor degree in Engineering;

• 2011.9-2013.3, Xi'an Jiaotong University, Mechanical Manufacture and Automation, Postgraduate Student;

• 2007.9-2011.7, Southwest Jiaotong University, Technique and Instrumentation of Measurements, Bachelor degree in Engineering.

(2) Work Experience

• 2019.9-present, Chongqing University, College of mechanical and vehicle engineering, Associate Professor, doctoral advisor；

• 2017.7-2019.9, Chongqing University, College of mechanical engineering, Assistant Professor;

• 2016.8-2017.2, City University of HongKong, Department of Systems Engineering and Engineering Management, research assistant.

Research Field

• Intelligent signal processing and fault diagnosis of key rotating machineries, such as aircraft engine, wind turbines, etc.

• Machine learning techniques, such as manifold learning, deep leaning, etc.

• Bioelectrical Signal Processing and its application to Brain-computer interface (BCI).

Research and Honors

(1) Published papers

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.

2. Hulin Ruan, Yi Wang*, Xiaomeng Li, Yi Qin, Baoping Tang, Ping Wang. A Relation-Based Semisupervised Method for Gearbox Fault Diagnosis With Limited Labeled Samples. IEEE Transactions on Instrumentation and Measurement, 2021,70: 1-13.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

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

11. 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.

12. 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.

13. 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.

14. 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.

* Corresponding author.

(2) Programs

Received research grants from National Natural Science Foundation of China (NSFC), Aeronautical Science Foundation Committee, the Fundamental Research Funds for the Central Universities, etc.

(3) Honors

1. Received the Excellent doctoral dissertation of Shaanxi Province in 2019.

2. Received the Excellent doctoral dissertation of Xi'an Jiaotong University in 2019.