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Performance evaluation of marker tracking method for rotational speed measurement of wind turbine blades

Liao, Yi-Hsiang, Wang, Lijuan, Yan, Yong (2024) Performance evaluation of marker tracking method for rotational speed measurement of wind turbine blades. Measurement, 243 (15). Article Number 116334. ISSN 0263-2241. E-ISSN 1873-412X. (doi:10.1016/j.measurement.2024.116334) (KAR id:108067)

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https://doi.org/10.1016/j.measurement.2024.116334

Abstract

Rotational speed is one of the most important operating parameters of wind turbines. It is not only related to the power output but also the operating status of mechanical parts. To measure the rotational speed of wind turbine blades, image processing methods demonstrate the advantages of non-contact measurement and low maintenance requirements. However, it is still challenging to achieve instantaneous rotational speed with high accuracy. In this paper, a new marker tracking method is proposed and implemented to measure the instantaneous rotational speed of wind turbine blades. Experiments were conducted on a wind turbine test rig with different camera settings, camera positions, and lighting conditions to assess the performance of the proposed method. Results show that the maker tracking method achieves a relative error mostly within ±0.5% and a normalised standard deviation below 0.35% with the typical speed range of wind turbine blades from 5 rpm to 30 rpm. Compared with the existing image correlation and frequency analysis method, the maker tracking method produces accurate measurement results and faster response.

Item Type: Article
DOI/Identification number: 10.1016/j.measurement.2024.116334
Uncontrolled keywords: wind turbine blades; instantaneous rotational speed measurement; marker tracking; image correlation
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
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Lijuan Wang
Date Deposited: 05 Dec 2024 11:46 UTC
Last Modified: 06 Dec 2024 10:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/108067 (The current URI for this page, for reference purposes)

University of Kent Author Information

Liao, Yi-Hsiang.

Creator's ORCID:
CReDIT Contributor Roles: Data curation, Writing - original draft, Methodology, Formal analysis

Wang, Lijuan.

Creator's ORCID: https://orcid.org/0000-0002-2517-2728
CReDIT Contributor Roles: Supervision, Conceptualisation, Methodology, Writing - review and editing
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