Dr. Xihui (Larry) Liang, P.Eng.

Research

Area

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

Expertise

Signal processing, machine learning, image processing, reliability and maintainability engineering, finite element analysis, nonlinear dynamics.

Research description

Research direction 1: Embedded systems, PCB design, and software development for smart health monitoring and non-destructive testing (NDT) systems.

Research direction 2: Robotics and control for smart manufacturing, machining, and real-time monitoring.

Research direction 3: Development of advanced condition monitoring techniques for engineering systems, including gas turbine engines, wind turbine gearboxes, bearings, batteries, transformers, pumps, heat exchangers, and various structural components.

Research direction 4: Reliability modeling and maintenance planning for complex engineering systems such as wind turbine gearboxes and gas turbine engines.

Research direction 5: Design and development of smart bearings with integrated self-sensing and self-powering capabilities.

Research direction 6: Additive manufacturing quality control and defect detection.

Biography

Dr. Xihui Liang received his PhD in Mechanical Engineering from the University of Alberta, Canada, in 2016, where he also completed a two-year postdoctoral fellowship. Since 2024, he has been serving as an Associate Professor in the Department of Mechanical Engineering at the University of Manitoba, Canada. He is the recipient of the Terry G. Falconer Memorial Rh Institute Foundation Emerging Researcher Award in the Applied Sciences category, in recognition of his work in developing intelligent and cost-effective monitoring systems that improve the safety and durability of critical infrastructure.

Graduate Student Opportunities

Dr. Liang is currently seeking graduate students who have expertise in one or more of the following areas: embedded systems, PCB design, and software development; robotics and control; signal processing and machine learning; reliability and maintenance; and non-destructive testing. Interested candidates are encouraged to email Dr. Liang at Xihui.Liang@umanitoba.ca.

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.