Damage Identification of Wind Turbine Blades - A Brief Review

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.

• Publication year

  2023

• Venue

  Journal of Dynamics Monitoring and Diagnostics

• Publication date

  2023-09-15

• Fields of study

  Not labeled

• Identifiers
  DOI 10.37965/jdmd.2023.422
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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