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Imaging-Based Fault Detection of Wind Turbines

Yu, Songyang (2018) Imaging-Based Fault Detection of Wind Turbines. PhD thesis, University of Sheffield.

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Abstract

With the development of renewable energy, the wind-energy generation is no longer a brand-new field. Considering the complex work environment and huge maintenance fee, windmill detection plays a significant role in the wind industry. Therefore, combining with the application of digital image technology in windmill in recent years, the thesis proposes a new non-destructive detection method based on digital image process algorithms, including Optical Intensity for frequency and cycle time measurement, Frame Difference for motion tracking, and EVM (Eulerian Video Magnification) for invisible motion enhancement.

Item Type: Thesis (PhD)
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Mechanical Engineering (Sheffield)
Identification Number/EthosID: uk.bl.ethos.755167
Depositing User: Mr Songyang Yu
Date Deposited: 08 Oct 2018 13:05
Last Modified: 25 Sep 2019 20:04
URI: http://etheses.whiterose.ac.uk/id/eprint/19722

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