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A review of artificial intelligence applications in wind turbine health monitoring.
A review of artificial intelligence applications in wind turbine health monitoring.
- Source :
-
International Journal of Sustainable Energy . Dec2024, Vol. 43 Issue 1, p1-35. 35p. - Publication Year :
- 2024
-
Abstract
- Wind energy is a promising renewable source, necessitating effective monitoring of wind turbine (WT) conditions for reliable and cost-effective energy production, amidst environmental challenges. Condition monitoring of WTs employs traditional methods, signal processing, and emerging artificial intelligence (AI) approaches. AI-driven techniques excel in data-driven decision-making, addressing big data challenges in condition monitoring. This review paper presents a comprehensive overview of all streams of condition monitoring associated with WT, offering detailed insights into the related tasks. It also provides details on AI-based approaches and their application in executing various tasks within condition monitoring for WT. Finally, the study summarises the current trends, advantages, and disadvantages of AI-based techniques for real-world decision making in condition monitoring. This systematic review covers fundamentals to future developments in AI-driven approaches in condition monitoring for WT, serving as a valuable resource for readers and novice researchers in this field. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14786451
- Volume :
- 43
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- International Journal of Sustainable Energy
- Publication Type :
- Academic Journal
- Accession number :
- 181256783
- Full Text :
- https://doi.org/10.1080/14786451.2024.2326296