Review on the Damage and Fault Diagnosis of Wind Turbine Blades in the Germination Stage

Xiaowen Song, Zhitai Xing, Yan Jia (), Xiaojuan Song, Chang Cai, Yinan Zhang, Zekun Wang, Jicai Guo and Qingan Li ()
Additional contact information
Xiaowen Song: College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
Zhitai Xing: College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
Yan Jia: College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
Xiaojuan Song: College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
Chang Cai: Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
Yinan Zhang: Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
Zekun Wang: Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
Jicai Guo: College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
Qingan Li: Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China

Energies, 2022, vol. 15, issue 20, 1-17

Abstract: In recent years, wind turbines have shown a maximization trend. However, most of the wind turbine blades operate in areas with a relatively poor natural environment. The stability, safety, and reliability of blade operation are facing many challenges. Therefore, it is of great significance to monitor the structural health of wind turbine blades to avoid the failure of wind turbine outages and reduce maintenance costs. This paper reviews the commonly observed types of damage and damage detection methods of wind turbine blades. First of all, a comprehensive summary of the common embryonic damage, leading edge erosion, micro-cracking, fiber defects, and coating defects damage. Secondly, three fault diagnosis methods of wind turbine blades, including nondestructive testing (NDT), supervisory control and data acquisition (SCADA), and vibration signal-based fault diagnosis, are introduced. The working principles, advantages, disadvantages, and development status of nondestructive testing methods are analyzed and summarized. Finally, the future development trend of wind turbine blade detection and diagnosis technology is discussed. This paper can guide the use of technical means in the actual detection of wind turbine blades. In addition, the research prospect of fault diagnosis technology can be understood.

Keywords: wind turbine blades; the germination stage of damage; fault diagnosis; non-destructive inspection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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