Damage Identification of Wind Turbine Blades  - A Brief Review

Amna Algolfat; Weizhuo Wang; Alhussein Albarbar

doi:10.37965/jdmd.2023.422

Authors

Amna Algolfat Department of Engineering, Manchester Metropolitan University, Manchester, M1 5GD, UK
Weizhuo Wang Department of Engineering, Manchester Metropolitan University, Manchester, M1 5GD, UK https://orcid.org/0000-0002-1225-4011
Alhussein Albarbar Department of Engineering, Manchester Metropolitan University, Manchester, M1 5GD, UK https://orcid.org/0000-0003-1484-8224

DOI:

https://doi.org/10.37965/jdmd.2023.422

Keywords:

wind turbine blade; damage modelling; digital twin; vibration based indices

Abstract

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.

Conflict of Interest Statement

Alhussein Albarbar is a guest editor for the special issue on Monitoring and Diagnostics of Renewable Energy System for the Journal of Dynamics, Monitoring and Diagnostics, and he was not involved in the editorial review or the decision to publish this article. The authors declare that they have no conflict of interest.