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Proceedings Paper

Application of image analysis and time-frequency analysis for tracking the rotating blades vibration
Author(s): Yu-Ting Huang; Wan-Ying Hsiung; Yuan-Shen Yang; Chin-Hsiung Loh
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Paper Abstract

The objective of this paper is to investigate the application of the photogrammetric approach to measuring the vibration of a research-scale wind turbine blade model (both damage and undamaged blade). In order to control the excitation (rotation of the wind turbine blade), a motor was used to spin the blades at controlled angular velocities. Two cameras are set in front of the turbine to tape the video images. Through a sequence of stereo image pairs acquired by high speed camera, the images are studied. The camera we used is the BASLER acA2000-340km (2048x1088, 340FPS). Before taking the photos camera calibration was conducted which include lens distortion and skew factor is examined. To analyze the displacement of the motion target on the turbine blade, after loading the 3D calibration, the 3D positions are calculated by using a stereo triangulation technique. Then the displacement fields by image template matching can be calculated. Application of the technique to track the 3D motion of the rotating wind turbine blade is demonstrated by using data from the research-scale wind turbine. Different from the image processing technique data from the contact sensors (accelerometers) is also used. Through Rodrigues' rotation formula to remove the rotation frequency it is easy to extract the out-of-plane motion of the blade, from which the model frequency of the blade can be identified.

Paper Details

Date Published: 8 March 2014
PDF: 10 pages
Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 906111 (8 March 2014); doi: 10.1117/12.2044353
Show Author Affiliations
Yu-Ting Huang, National Taiwan Univ. (Taiwan)
Wan-Ying Hsiung, National Taiwan Univ. (Taiwan)
Yuan-Shen Yang, National Taipei Univ. of Technology (Taiwan)
Chin-Hsiung Loh, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 9061:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
Jerome P. Lynch; Kon-Well Wang; Hoon Sohn, Editor(s)

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