Paper
6 March 2015 Vibration studies of simply supported beam based on binocular stereo vision
Chaojia Liang, Huaxia Deng, Jin Zhang, Liandong Yu
Author Affiliations +
Proceedings Volume 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation; 94463M (2015) https://doi.org/10.1117/12.2181390
Event: International Symposium on Precision Engineering Measurement and Instrumentation, 2014, Changsha/Zhangjiajie, China
Abstract
That sensors are used to collect experimental data is still prevalent nowadays. A common way to analyze the mode of vibration of a structure, lots of sensors may required to be installed on the structure in order to ensure completeness of data. However, if these data can be obtained based on machine vision, the effects caused by sensors on the beam would be removed. A new kind of non-contact method will be used to measure the mode of vibration of simply supported beam. In this paper, the basic theory of the simply supported beam and machine vision will be introduced. It is different from traditional way that is based on a large number of sensors to collect experimental data. Two cameras record the vibration process of simply supported beam while the beam is vibrating caused by an exciter. After those images that have recorded the vibration process of simply supported beam are processed, calibration and registration included, those data collected by sensors also are reconstructed by traditional modal test method for comparison. Through comparing the machine vision method and sensor based method, errors caused by the process of reconstruction might be analyzed. The first order modal vibration modes by using two ways and combining with finite element method to produce can also be analyzed what their differences are.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chaojia Liang, Huaxia Deng, Jin Zhang, and Liandong Yu "Vibration studies of simply supported beam based on binocular stereo vision", Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94463M (6 March 2015); https://doi.org/10.1117/12.2181390
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KEYWORDS
Sensors

Cameras

Machine vision

Beam shaping

Error analysis

Vibrometry

Image processing

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