Background of Education and Work Experience

• Sept. 2019 – Now, Research Fellow, College of Mechanical Engineering, Chongqing University, Chongqing, China

• Jul. 2017 – Aug. 2019, Postdoctoral Fellow, Department of Mechanical and Materials Engineering, Queen’s University, Kingston, Canada

• Sept. 2013 – Jun. 2017, Ph.D., Department of Mechanical and Materials Engineering, Queen’s University, Kingston, Canada

• Sept. 2010 – Jul. 2013, M.Sc., College of Mechanical Engineering, Chongqing University, Chongqing, China

• Sept. 2006 – Jul. 2010, B.S., College of Mechanical Engineering, Wuhan University of Technology, Wuhan, China

Research Field

• Dynamic modeling of faulty gear systems

• Vibration based machine condition monitoring

• Machine remaining useful life estimation

Research and Honors

April 2014 – March 2019, Natural Science and Engineering Research Council of Canada - Engage Grant (NSERC), “Characterization and Control of Non-Steady State Machine Vibration”, Principle Investigator

W. Yu, C. K. Mechefske, and II Yong Kim. (2019). Time Series Reconstruction Using a Bidirectional Recurrent Neural Network based Encoder-Decoder Scheme. In AIAC - 18th Australian International Aerospace Congress (AIAC2018); HUMS - 11th Defence Science and Technology (DST) International Conference on Health and Usage Monitoring (HUMS 2019); ISSFD - 27th International Symposium on Space Flight Dynamics (ISSFD) (pp. 876–884). Melbourne: Melbourne: Engineers Australia, Royal Aeronautical Society. (Best paper award)

W. Yu*, I.Y. Kim, C. Mechefske,Analysis of different RNN autoencoder variants for time series classification and machine prognostics, Mech. Syst. Signal Process. 149 (2021) 107322.

W. Yu*, C. Mechefske, I.Y. Kim, Identifying optimal features for cutting tool condition monitoring using recurrent neural networks, Adv. Mech. Eng. 12 (2020) 1–14.

W. Yu*, I.Y. Kim, C. Mechefske, An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme, Reliab. Eng. Syst. Saf. 199 (2020) 106926.

W. Yu*, I.Y. Kim, and C.K. Mechefske, Remaining Useful Life Estimation Using a Bidirectional Recurrent Neural Network Based Autoencoder Scheme, Mechanical Systems and Signal Processing, 129, 764–780, 2019.

W. Yu*, and C. K. Mechefske, A new model for the single mesh stiffness calculation of helical gears using the slicing principle, Iran J Sci Technol Trans Mech Eng, 43, S503–S515, 2019.

W. Yu*, C.K. Mechefske, M. Timusk, A new dynamic model of a cylindrical gear pair with localized spalling defects, Nonlinear Dyn. 91 (2018) 2077–2095.

W. Yu*, C. K. Mechefske, and M. Timusk, Influence of the addendum modification on spur gear back-side mesh stiffness and dynamics,J. Sound Vib., vol. 389, pp. 183–201, 2017.

W. Yu*, C. K. Mechefske, and M. Timusk, Effects of tooth plastic inclination deformation due to spatial cracks on the dynamic features of a gear system,Nonlinear Dyn., vol. 87, no. 4, pp. 2643–2659, 2017.

W. Yu*, C. K. Mechefske, and M. Timusk, The dynamic coupling behaviour of a cylindrical geared rotor system subjected to gear eccentricities,Mech. Mach. Theory, vol. 107, pp. 105-122, Jan. 2017.

W. Yu* and C. K. Mechefske, Analytical modeling of spur gear corner contact effects, Mech. Mach. Theory, vol. 96, pp. 146–164, 2016.

W. Yu*, Y. Shao, and C. K. Mechefske, The effects of spur gear tooth spatial crack propagation on gear mesh stiffness, Eng. Fail. Anal., vol. 54, pp. 103–119, 2015.