Research on Key Technology and Applications of Predictive Maintenance for Wind Turbines
With the continuous advancement of wind turbines technology, Internet of Things, artificial intelligence and big data technology has led to gradual enhancements in the condition perception system of wind turbines, enabling predictive maintenance to be achieved in the field of wind power operation and maintenance. This paper summarizes the latest research progress of predictive maintenance in wind turbines, and analyzes the concept, framework and key technologies of predictive maintenance. At the same time, the application of predictive maintenance technology in the key components of wind turbine is discussed. Finally, the problems and challenges in practice are discussed, and the future research directions are proposed.
Authors
- Qingtian Wang (ORCID: https://orcid.org/0000-0003-0153-9166)
- Ning Cao (ORCID: https://orcid.org/0000-0002-3929-8604)
- Junhong Zhao (ORCID: https://orcid.org/0000-0001-7031-3828)
- Liang Ma (ORCID: https://orcid.org/0000-0002-1437-4500)
- Tong Tong (ORCID: https://orcid.org/0000-0002-9988-1295)
Institutions
- Ningxia University (CN)
- WuXi AppTec (China) (CN)
- Huaneng Clean Energy Research Institute (CN)
- Shaanxi Yulin Energy Group (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/cepgt64143.2024.11064812
- Primary Topic
- Machine Fault Diagnosis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00