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    Damage identification of wind turbine blades - a brief review

    Algolfat, Amna, Wang, Weizhuo ORCID logoORCID: https://orcid.org/0000-0002-1225-4011 and Albarbar, Alhussein ORCID logoORCID: https://orcid.org/0000-0003-1484-8224 (2023) Damage identification of wind turbine blades - a brief review. Journal of Dynamics, Monitoring and Diagnostics, 2 (3). pp. 198-206. ISSN 2833-650X

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    The increasing size of these blades of wind turbines emphasises the need for reliable monitoring and maintenance. This brief review explores the detection and analysis of damage in wind turbine blades. The study highlights various techniques, including acoustic emission analysis, strain signal monitoring, and vibration analysis, as effective approaches for damage detection. Vibration analysis, in particular, shows promise for fault identification by analysing changes in dynamic characteristics. Damage indices based on modal properties, such as natural frequencies, mode shapes, and curvature, are discussed.

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