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.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/cepgt64143.2024.11064812
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
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article

Research on Key Technology and Applications of Predictive Maintenance for Wind Turbines

Qingtian Wang, Ning Cao, Junhong Zhao, Liang Ma et al.
Machine Fault Diagnosis Techniques
article

Research on Key Technology and Applications of Predictive Maintenance for Wind Turbines

Qingtian Wang, Ning Cao, Junhong Zhao, Liang Ma, Tong Tong
article en

Abstract

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.

Ningxia University (CN), WuXi AppTec (China) (CN), Huaneng Clean Energy Research Institute (CN), Shaanxi Yulin Energy Group (CN)
Affordable and clean energy
Openalex Percentile: Top 62%
Machine Fault Diagnosis Techniques
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Research on Key Technology and Applications of Predictive Maintenance for Wind Turbines — Qingtian Wang, Ning Cao, et al. · (2024) | TGRS Research Map | TGRS