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Instantaneous Rotational Speed Measurement of Wind Turbine Blades using a Marker-Tracking Method

Liao, Yi-Hsiang, Wang, Lijuan, Yan, Yong (2022) Instantaneous Rotational Speed Measurement of Wind Turbine Blades using a Marker-Tracking Method. In: 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2022) Proceedings. . IEEE ISBN 978-1-66548-360-5. (doi:10.1109/I2MTC48687.2022.9806658) (KAR id:95651)

Abstract

Rotational speed of wind turbine blades is an important parameter reflecting the operating and structural health conditions of wind turbines. Traditionally, the rotor speed is measured using inertial measuring units (IMUs). The biggest issue with IMUs is that the measurements drift over time and require constant calibration. This paper presents a direct way of measuring the instantaneous rotational speed of wind turbine blades using a camera and a marker-tracking method. The proposed measurement method is assessed by conducting a series of simulation experiments under different conditions – fixed speed, stepped varying speed, and linear varying speed. Results demonstrate that when using a camera with a frame rate of 30 fps (frames per second), the marker-tracking method yields a relative error within ±0.5% at the speed between 5 to 30 rpm (revolutions per minute). Compared to the image-correlation method, the marker-tracking method provides better results in terms of accuracy and reaction time, especially under varying speed conditions.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/I2MTC48687.2022.9806658
Uncontrolled keywords: rotational speed measurement, wind turbine blade speed, image correlation, marker tracking, instantaneous speed measurement
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: Yong Yan
Date Deposited: 02 Jul 2022 08:15 UTC
Last Modified: 04 Jul 2022 09:25 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/95651 (The current URI for this page, for reference purposes)

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