Structural Health Monitoring of Wind Turbines Using a Digital Image Correlation System on a UAV

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Unmanned aerial vehicles (UAVs) have recently emerged as a robust tool for remote inspection and data acquisition at places that are either inaccessible or riskier to perform measurements. To quantify the level of strain/stress and loading conditions that the rotating structures such as wind turbine experience during operation, an approach is proposed that can perform a nondestructive evaluation of these rotating structures using non-contact, three-dimensional (3D) digital image correlation (DIC). This technique addresses the benefit of non-interference with structure functionality and can be used for rotating or non-rotating structures. In this project, a synchronized set of a stereo camera system is used to acquire the images of a rotating turbine. These images are processed to obtain displacement, geometry, and strain over the wind turbine blades during deformation.

Original languageAmerican English
Title of host publicationRotating Machinery, Optical Methods Scanning LDV Methods
DOIs
StatePublished - Apr 5 2019

Keywords

  • Modal analysis
  • DIC
  • Wind turbine
  • Drone
  • Structural health monitoring

Disciplines

  • Mechanical Engineering

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