Cai Xia Yang

Cai Xia Yang is an Associate Professor in the Department of Mechanical Engineering at the University of North Dakota since August 2020, previously holding the same title there since 2014 and an Assistant Professor role from 2013-2020. Her research focuses on Nonlinear Dynamics, Data Analysis, Stability Analysis, and Fault Detection using vibration signals, with applications in rotating machinery, bipedal robotics, and posture stability. She has developed low-cost diagnostic systems for vibration detection and balance measurement.

• Ph.D., Mechanical Engineering, University of Manitoba
• M.S., Mechanical Engineering, Tianjin Institute of Textile Science and Technology
• B.S., Mechanical Engineering, Tianjin Institute of Textile Science and Technology

Her work integrates nonlinear Lyapunov exponent analysis with KNN classification for fault detection in mechanical systems, nonlocal elasticity theory for microsystem vibrations, and computer vision for rotating machine balancing. Publications span journals like Actuators, Nonlinear Dynamics, and conferences including ASME IMECE and IEEE EIT.

She has advised numerous graduate and undergraduate students on projects related to machinery fault classification, wind turbine design, and biomedical signal processing. Recent collaborations include low-cost vital signs monitors via computer vision and vibration analysis.