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 language | American English |
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Title of host publication | Rotating Machinery, Optical Methods Scanning LDV Methods |
DOIs | |
State | Published - Apr 5 2019 |
Keywords
- Modal analysis
- DIC
- Wind turbine
- Drone
- Structural health monitoring
Disciplines
- Mechanical Engineering