Computer Vision Kinematic Detection of Centrifugal Pendulum Vibration Absorber

Using patented non-contact measurement technology based on computer vision, the kinematic characteristics of centrifugal pendulum vibration absorbers (CPVA) are measured. Firstly, the code wheel for computer vision recognition is arranged on the rotor and pendulum. Next, use a high-speed camera to record the movement process of CPVA in the video. Subsequently, with the help of digital image processing technology, the real-time motion positions of code wheel were identified. Finally, by utilizing the temporal variations of these position coordinates, the motion state parameters of the rotor and pendulum were successfully measured and compared with theoretical values. The results indicate that the proposed non-contact measurement method based on computer vision exhibits extremely high accuracy. This method not only offers robust support for the examination of CPVA’s dynamic characteristics but also pioneers innovative avenues for research in similar fields.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1109/cacml64929.2025.11010954
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Computer Vision Kinematic Detection of Centrifugal Pendulum Vibration Absorber

Jie Qiu, Guangqiang Wu, Yi Zhang
Advanced Measurement and Detection Methods
article

Computer Vision Kinematic Detection of Centrifugal Pendulum Vibration Absorber

Jie Qiu, Guangqiang Wu, Yi Zhang
article en

Abstract

Using patented non-contact measurement technology based on computer vision, the kinematic characteristics of centrifugal pendulum vibration absorbers (CPVA) are measured. Firstly, the code wheel for computer vision recognition is arranged on the rotor and pendulum. Next, use a high-speed camera to record the movement process of CPVA in the video. Subsequently, with the help of digital image processing technology, the real-time motion positions of code wheel were identified. Finally, by utilizing the temporal variations of these position coordinates, the motion state parameters of the rotor and pendulum were successfully measured and compared with theoretical values. The results indicate that the proposed non-contact measurement method based on computer vision exhibits extremely high accuracy. This method not only offers robust support for the examination of CPVA’s dynamic characteristics but also pioneers innovative avenues for research in similar fields.

Tongji University (CN), SAIC Motor (China) (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 90%
Advanced Measurement and Detection Methods
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