Abstract
Vibration measurement for flexible structures is widely used in various kinds of precision engineering fields. However, it is a challenge to measure vibration in special applications, such as cryogenic, dangerous and magnetic interference. In this paper, a high-precision vibration measurement system based on machine vision is designed. The circle center on the target is employed as the image feature. The circle feature is extracted using the improved algorithm based on gradient Hough transform. Then the image Jacobian matrix is used to compute the vibrations in Cartesian space from the image feature changes. Experiments verify the effectiveness of the proposed methods.
Highlights
Flexible structures are widely used in various kinds of precision engineering fields such as the cables of cable-stayed bridges [1,2], flexible inspection arms in international thermonuclear experimental reactors (ITER) [3], cryogenic targets used in inertial confinement fusion (ICF) [4], and spacecraft with solar panels [5]
The vibration measurements of flexible structures play a crucial role in the prediction of potential disasters
Our main contribution is that a precision vibration measurement instrument is designed for flexible structures
Summary
Flexible structures are widely used in various kinds of precision engineering fields such as the cables of cable-stayed bridges [1,2], flexible inspection arms in international thermonuclear experimental reactors (ITER) [3], cryogenic targets used in inertial confinement fusion (ICF) [4], and spacecraft with solar panels [5]. The most popular are probably the accelerometer-based measurements, the laser and the strain gages [6,7,8] These techniques fit well for most applications, they present some limitations in special applications, such as cryogenic, strong electrical and magnetic interference. A vision system is presented to measure the vibration of a cryogenic target. The techniques including the calibration of the image Jacobian matrix with active movements of the cryogenic target and the image feature extraction are presented. Robotics 2016, 5, 9 with active movements of the cryogenic target and the image feature extraction are presented. (1) the image calibrated before calibrated before vibration consists measurement; the coordinates of Jacobian the targetmatrix centerisare calculated via vibration measurement; coordinates the target center are calculated image feature extraction; (2).
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