PHM 2021 Keynote Speech 5

In-Service Health Monitoring of Wind Turbine Blades


As one of the typical renewable energy sources, wind energy has promising prospects for substituting fossil fuels due to its enrichment and environment friendliness. In wind turbines, blades are critical components for power generation since they are leading parts capturing the wind energy directly. In addition, wind turbine blades are easily damaged owing to harsh operating conditions and ever-growing dimensions, increasing risks and economic costs for operation and maintenance. Therefore, it is necessary to implement condition monitoring of wind turbine blades under operating conditions. In the presentation, several techniques have been introduced to evaluate blade health conditions. However, only a few of them have the potential to achieve in-service condition monitoring due to sophisticated structures and operating conditions of blades. This lecture firstly reviews techniques based on strain measurement, vibration measurement, acoustic measurement, optical measurement, thermographic, and microwave radar. Moreover, the advantages and disadvantages of in-service condition monitoring techniques, as well as research prospects indicating promising development tendencies, are discussed. Furthermore, recent research progress on blade damage identification based on the microphone array made by our Tsinghua team is presented. Contents to be discussed include identification mechanisms of blade damages, high-resolution sound field reconstruction methods, and applications for the health assessment of operating wind turbine blades.


Fulei Chu avatar
Dr. Fulei Chu China


Tsinghua University, China

Dr. Chu Fulei is the professor of mechanical engineering of Tsinghua University. Vice president of China Society of vibration engineering, chairman of fault diagnosis Committee, chief editor of Journal of mechanical engineering and technology, and deputy editor in chief of Chinese Journal of vibration engineering, Editor of Journal of sound and vibration, vibration and shock, etc. His research interests include rotating machinery dynamics, machine condition monitoring and fault diagnostics, nonlinear vibration and vibration control.

He has published more than 300 papers in peer review journals, including 39 papers in the Journal of Sound and Vibration and 35 papers in the journal of Mechanical Systems and Signal Processing. He has received many awards in China, including the Outstanding Young Researcher Award from Natural Science Foundation of China. He has an H-Index of 50 and remains in the Elsevier list of Most Cited Chinese Researchers in the field of Mechanical Engineering since 2014.