LAPSE:2023.8658
Published Article
LAPSE:2023.8658
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, Qingan Li
February 24, 2023
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
fault diagnosis, non-destructive inspection, the germination stage of damage, wind turbine blades
Suggested Citation
Song X, Xing Z, Jia Y, Song X, Cai C, Zhang Y, Wang Z, Guo J, Li Q. Review on the Damage and Fault Diagnosis of Wind Turbine Blades in the Germination Stage. (2023). LAPSE:2023.8658
Author Affiliations
Song X: College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China; Inner Mongolia Key Laboratory of Special Service Intelligent Robotics, Hohhot 010051, China [ORCID]
Xing Z: College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China; Key Laboratory of Wind Energy and Solar Energy Utilization Technology, Ministry of Education, Inner Mongolia University of Technology, Hohhot 010051, C
Jia Y: College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China; Key Laboratory of Wind Energy and Solar Energy Utilization Technology, Ministry of Education, Inner Mongolia University of Technology, Hohhot 010051, C
Song X: College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China; Inner Mongolia Key Laboratory of Special Service Intelligent Robotics, Hohhot 010051, China [ORCID]
Cai C: Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
Zhang Y: Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
Wang Z: Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China [ORCID]
Guo J: College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China; Inner Mongolia Key Laboratory of Special Service Intelligent Robotics, Hohhot 010051, China
Li Q: Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
Journal Name
Energies
Volume
15
Issue
20
First Page
7492
Year
2022
Publication Date
2022-10-12
Published Version
ISSN
1996-1073
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PII: en15207492, Publication Type: Review
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doi:10.3390/en15207492
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Feb 24, 2023
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