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

• A marker tracking method for rotational speed measurement of wind turbine blades. • A relative error mostly within ±0.5 % achieved under different test conditions. • Better performance in response time compared to correlation-based methods. 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.

Authors

Institutions

Publication Details

Journal
Measurement
Published
2024-11-28
DOI
https://doi.org/10.1016/j.measurement.2024.116334
Citations
5
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
1.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Yong Yan, Yi-Hsiang Liao, Lijuan Wang
5 citations
Measurement
Advanced Measurement and Detection Methods
1.04
article

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

Yong Yan, Yi-Hsiang Liao, Lijuan Wang
article en
5 citations

Abstract

• A marker tracking method for rotational speed measurement of wind turbine blades. • A relative error mostly within ±0.5 % achieved under different test conditions. • Better performance in response time compared to correlation-based methods. 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.

MeasurementVol. 243
Zhejiang International Studies University (CN), University of Kent (GB), Beihang University (CN)
Affordable and clean energy
Openalex Percentile: Top 22%
Advanced Measurement and Detection Methods
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Performance evaluation of marker tracking method for rotational speed measurement of wind turbine blades — Yong Yan, Yi-Hsiang Liao, et al. · Measurement (2024) | TGRS Research Map | TGRS