Research

Area

Machines and structures condition monitoring, reliability analysis, predictive maintenance, non-destructive testing.

Expertise

Nonlinear dynamics, signal processing, machine learning, reliability and maintainability engineering, finite element analysis.

Research description

Research direction 1: development of advanced condition monitoring techniques for engineering systems such as gas turbine engines, wind turbine gearboxes, bearings, batteries, transformers, pumps, heat exchangers, and structures.

Research direction 2: Reliability modeling and maintenance planning for complex engineering systems such as wind turbine gearboxes and gas turbine engines

Research direction 3: Development of smart bearings with self-sensing and self-powering capabilities

Research direction 4: Additive manufacturing quality control and defect detection

Biography

Dr. Xihui Liang received the B.Sc. and M.Sc. degrees from Shandong University, China, in 2007 and 2009, respectively, and received the Ph.D. degree at the University of Alberta, Canada, in 2016, all in mechanical engineering. Since 2018, he has been an Assistant Professor in the Department of Mechanical Engineering of the University of Manitoba, Canada.

Graduate Student Opportunities

Dr. Liang is currently seeking graduate students. Please contact him for more information..

Selected Publications

Sajad Saraygord Afshari, Fatemeh Enayatollahi, Xiangyang Xu, and Xihui Liang. “Machine learning-based methods in structural reliability analysis: a review.” Reliability Engineering & System Safety 219 (2022): 1-31.

Wentao Mao, Jing Liu, Jiaxian Chen, and Xihui Liang. “An interpretable deep transfer learning-based remaining useful life prediction approach for bearings with selective degradation knowledge fusion.” IEEE Transactions on Instrumentation and Measurement 71 (2022): 1-16.

Sajad Saraygord Afshari, Shihao Cui, Xiangyang Xu, and Xihui Liang. “Remaining useful life early prediction of batteries based on the differential voltage and differential capacity curves.” IEEE Transactions on Instrumentation and Measurement 71 (2022): 1-9.

Xinchen Zhuang, Tianxiang Yu, Sajad Saraygord Afshari, Zhongchao Sun, Kunling Song, and Xihui Liang. “Remaining useful life prediction of a mechanism considering wear correlation of multiple joints.” Mechanical Systems and Signal Processing 149 (2021): 1-20.

Xihui Liang, Ming J. Zuo, and Zhipeng Feng. “Dynamic modeling of gearbox faults: A review.” Mechanical Systems and Signal Processing 98 (2018): 852-876.