Liming Wang, received the B. S. degree in Mechanical Engineering and Ph. D degree from Chongqing University, Chongqing, China, in 2011 and 2018, respectively. He is currently a postdoctoral researcher with the State Key Laboratory of Mechanical Transmission, Chongqing University. His research has focused on fault diagnosis, signal processing, condition monitoring and dynamic modeling for rotating machinery. He has published more than 20 articles in some high-level journals. And he has obtained the Hiwin Doctoral Dissertation Award in 2019, second Prize of the Chongqing Science and Technology progress Award in 2019, the Outstanding Doctoral Thesis Award of Chongqing University in 2018and the Outstanding paper Award of CJME in 2020.

Background of Education and Work Experience

• 09/2011-06/2018, Mechanical Design and Theory, Chongqing University (Ph.D.)

• 09/2015-09/2016, CALCE, University of Maryland, College Park (CSC Visiting researcher)

• 09/2007-06/2011, Mechanical Engineering and Automation, Chongqing University (B.E.)

Research Field

• Fault diagnosis of rotating machinery

• Condition monitoring

• Gear dynamics

Research and Honors

Hosted Projects

• National Natural Science Foundation of China (Grant No. 51905053)

• Sub-project under National Key Research and Development Program of China (Grant No. 2019YFB204304)

• Postdoctoral Science Foundation of China (Grant No. 2019M653335)

• Postdoctoral Science Foundation of Chongqing (Grant No. cstc2019jcyj-bshX0119)

Honors

• Hiwin Doctoral Dissertation Award (2019)

• Second Prize of the Chongqing Science and Technology progress Award (2019)

• Outstanding Doctoral Thesis Award of Chongqing University (2018)

Featured Research

[1] Liming Wang, Yimin Shao. Fault feature extraction of rotating machinery using a reweighted complete ensemble empirical mode decomposition with adaptive noise and demodulation analysis[J]. Mechanical systems and signal processing, 2020, 138:106545. (SCI, TOP journal)

[2] Liming Wang, Weijun Ye, Yimin Shao, et al. A new adaptive evolutionary digital filter based on alternately evolutionary rules for fault detection of gear tooth spalling [J]. Mechanical Systems and Signal Processing, 2019, 118: 645-657. (SCI, TOP journal)

[3] Liming Wang, Yimin Shao, Zheng Cao. Optimal demodulation subband selection for sun gear crack fault diagnosis in planetary gearbox [J]. Measurement, 2018, 125: 554-563.

[4] Liming Wang, Yimin Shao. Crack fault classification for planetary gearbox based on feature selection technique and k-means clustering method [J]. Chinese Journal of Mechanical Engineering, 2018, 31(1): 4. (SCI, Outstanding paper Award of CJME)

[5] Liming Wang, Yimin Shao. Fault mode analysis and detection for gear tooth crack during its propagating process based on dynamic simulation method [J]. Engineering Failure Analysis, 2017, 71: 166-178. (SCI)