Associate Professor
Department of Mechanical Engineering
Room E1-556 EITC
University of Manitoba (Fort Garry campus)
Winnipeg, MB R3T 5V6
The University of Manitoba campuses are located on original lands of Anishinaabeg, Ininew, Anisininew, Dakota and Dene peoples, and on the National Homeland of the Red River Métis. More
University of Manitoba
Winnipeg, Manitoba Canada, R3T 2N2
Associate Professor
Department of Mechanical Engineering
Room E1-556 EITC
University of Manitoba (Fort Garry campus)
Winnipeg, MB R3T 5V6
Machines and structures condition monitoring, reliability analysis, predictive maintenance, non-destructive testing.
Nonlinear dynamics, signal processing, machine learning, reliability and maintainability engineering, finite element analysis.
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
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.
Dr. Liang is currently seeking graduate students. Please contact him for more information..
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.