A Method for Determining the Axial Displacement of Rotating Parts Using a Line Scan Camera

This paper presents a novel method for evaluating the axial displacement of rotating components using line scan cameras. Developed in collaboration with an automotive manufacturer, this approach enables non-contact, non-invasive inspection of starter motors, allowing for the measurement of rotationa...

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Main Author: FORGÁCS Zsófia
Format: Article
Language:English
Published: Editura Universităţii din Oradea 2024-10-01
Series:Journal of Electrical and Electronics Engineering
Subjects:
Online Access:https://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V17_N2_OCT_2024/02%20paper%202407062%20Forgacs.pdf
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author FORGÁCS Zsófia
author_facet FORGÁCS Zsófia
author_sort FORGÁCS Zsófia
collection DOAJ
description This paper presents a novel method for evaluating the axial displacement of rotating components using line scan cameras. Developed in collaboration with an automotive manufacturer, this approach enables non-contact, non-invasive inspection of starter motors, allowing for the measurement of rotational speed and gear backlash without disassembly. The method leverages line scan cameras and statistical image processing techniques to analyze recorded images, examining the variance profiles of pixel arrays to determine component displacement. The solution ensures precise measurement while minimizing the need for costly equipment, addressing the growing significance of machine vision technology across various industrial sectors.
format Article
id doaj-art-6cdcb9f10aaf4564a925d9c1945ec0a9
institution OA Journals
issn 1844-6035
2067-2128
language English
publishDate 2024-10-01
publisher Editura Universităţii din Oradea
record_format Article
series Journal of Electrical and Electronics Engineering
spelling doaj-art-6cdcb9f10aaf4564a925d9c1945ec0a92025-08-20T01:58:38ZengEditura Universităţii din OradeaJournal of Electrical and Electronics Engineering1844-60352067-21282024-10-011721116A Method for Determining the Axial Displacement of Rotating Parts Using a Line Scan CameraFORGÁCS Zsófia0University of Miskolc, HungaryThis paper presents a novel method for evaluating the axial displacement of rotating components using line scan cameras. Developed in collaboration with an automotive manufacturer, this approach enables non-contact, non-invasive inspection of starter motors, allowing for the measurement of rotational speed and gear backlash without disassembly. The method leverages line scan cameras and statistical image processing techniques to analyze recorded images, examining the variance profiles of pixel arrays to determine component displacement. The solution ensures precise measurement while minimizing the need for costly equipment, addressing the growing significance of machine vision technology across various industrial sectors.https://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V17_N2_OCT_2024/02%20paper%202407062%20Forgacs.pdfline scan camerastatistical image processingaxial displacementnon-contact measurementmachine vision
spellingShingle FORGÁCS Zsófia
A Method for Determining the Axial Displacement of Rotating Parts Using a Line Scan Camera
Journal of Electrical and Electronics Engineering
line scan camera
statistical image processing
axial displacement
non-contact measurement
machine vision
title A Method for Determining the Axial Displacement of Rotating Parts Using a Line Scan Camera
title_full A Method for Determining the Axial Displacement of Rotating Parts Using a Line Scan Camera
title_fullStr A Method for Determining the Axial Displacement of Rotating Parts Using a Line Scan Camera
title_full_unstemmed A Method for Determining the Axial Displacement of Rotating Parts Using a Line Scan Camera
title_short A Method for Determining the Axial Displacement of Rotating Parts Using a Line Scan Camera
title_sort method for determining the axial displacement of rotating parts using a line scan camera
topic line scan camera
statistical image processing
axial displacement
non-contact measurement
machine vision
url https://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V17_N2_OCT_2024/02%20paper%202407062%20Forgacs.pdf
work_keys_str_mv AT forgacszsofia amethodfordeterminingtheaxialdisplacementofrotatingpartsusingalinescancamera
AT forgacszsofia methodfordeterminingtheaxialdisplacementofrotatingpartsusingalinescancamera