Publication
Title
Easy sensor localization using an RGB camera
Author
Abstract
When performing an experimental modal test, the user has to define (i.e. draw) a geometry of the structure which includes the 3D locations and orientations of the vibration sensors (accelerometers, strain gages, etc.). This step is often tedious and time-consuming, especially for complex geometries containing a large number of sensors. Incorrect placement of sensors can lead to important errors [1]. In this paper, we propose a camera based method to semi-automatically link the geometry of an object under test with an available geometry in a CAD file. The technique uses low-cost equipment (a compact camera). Our method will be demonstrated on three test objects: a car, a bicycle frame and a drone aircraft model. In the case of the drone, the curved shape of the wing makes it very difficult to measure the position and orientation of the sensors manually. We show that we are able to detect the sensors with an accuracy of about 5 mm in the studied cases.
Language
English
Source (journal)
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2018) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2018)
Source (book)
International Conference on Noise and Vibration Engineering (ISMA) /, International Conference on Uncertainty in Structural Dynamics (USD), SEP 17-19, 2018, Leuven, BELGIUM
Publication
Heverlee : Katholieke univ leuven, dept werktuigkunde , 2018
ISBN
978-90-73802-99-5
978-90-73802-99-5
Volume/pages
(2018) , p. 1361-1370
ISI
000467299102013
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 25.06.2019
Last edited 28.10.2024
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