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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.

Authors :
Sasinthiran, Abirami
Gnanasekaran, Sakthivel
Ragala, Ramesh
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