Liao, Yi-Hsiang, Wang, Lijuan, Yan, Yong (2024) Vibration measurement of wind turbine blades through image analysis of Moiré pattern. In: IMEKO 2024 XXIV World Congress. . (In press) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:106871)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) |
Abstract
Wind turbine blades are becoming harder to maintain due to their growth in size in the last decade. Although the vibration of wind turbine blades can currently be monitored using sensors such as accelerometers or Fibre Bragg Grating sensors which are embedded on the blades, the maintenance work on the sensors themselves is also difficult. In this paper, a new and non-contact measurement method based on image analysis of moiré pattern is proposed to measure the out-of-plane vibration frequency of wind turbine blades. Experiments were conducted at different vibration frequencies and blade angles to verify the feasibility of the proposed method. Results show that in most conditions, the relative error of the measured frequency ranges from -2 % to -1 %. The proposed method is feasible on measuring vibration frequency of wind turbine blades resting at different angles.
Item Type: | Conference or workshop item (Paper) |
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Lijuan Wang |
Date Deposited: | 13 Aug 2024 12:27 UTC |
Last Modified: | 14 Aug 2024 10:37 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/106871 (The current URI for this page, for reference purposes) |
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