Fangzhou Cheng is a Data Scientist in the Analytics for Condition Evaluation of Systems (ACES) area within the System Sciences Lab. His research is focused on the data-driven methods for condition-based maintenance of electrical and mechanical systems.
Prior to joining PARC, Fangzhou was a Research Assistant in Power and Energy Systems Lab at University of Nebraska-Lincoln, where he worked on model-based/data-driven methods for fault diagnostics and prognostics of wind turbine drivetrains using electrical signals. During his internship with General Electric Golbal Research Center, he was involved in developing a condition monitoring system for indirect-drive wind energy conversion systems.
Dr. Cheng received his Ph.D. in Electrical Engineering from the University of Nebraska-Lincoln, and B.Eng. degree in Electrical Engineering from Zhejiang University in China. He has published over 15 peer-reviewed articles and papers in leading journals and conferences. He also presented and served as a reviewer for leading journals and conferences, such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industry Applications and IEEE Engergy Conversion Congress and Exposition.
In his free time, Fangzhou enjoys playing basketball and ping pong.