Adaptive Algorithm for the Quality Control of Braided Sleeving

We describe the development and application of a robot vision based adaptive algorithm for the quality control of the braided sleeving of high pressure hydraulic pipes. With our approach, we can successfully overcome the limitations, such as low reliability and repeatability of braided quality, whic...

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Main Authors: Miha Pipan, Andrej Kos, Niko Herakovic
Format: Article
Language:English
Published: SAGE Publishing 2014-09-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1155/2014/812060
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spelling doaj-52bfabd8c7504b8690bd09dde68aee182020-11-25T03:43:56ZengSAGE PublishingAdvances in Mechanical Engineering1687-81322014-09-01610.1155/2014/81206010.1155_2014/812060Adaptive Algorithm for the Quality Control of Braided SleevingMiha PipanAndrej KosNiko HerakovicWe describe the development and application of a robot vision based adaptive algorithm for the quality control of the braided sleeving of high pressure hydraulic pipes. With our approach, we can successfully overcome the limitations, such as low reliability and repeatability of braided quality, which result from the visual observation of the braided pipe surface. The braids to be analyzed come in different dimensions, colors, and braiding densities with different types of errors to be detected, as presented in this paper. Therefore, our machine vision system, consisting of a mathematical algorithm for the automatic adaptation to different types of braids and dimensions of pipes, enables the accurate quality control of braided pipe sleevings and offers the potential to be used in the production of braiding lines of pipes. The principles of the measuring method and the required equipment are given in the paper, also containing the mathematical adaptive algorithm formulation. The paper describes the experiments conducted to verify the accuracy of the algorithm. The developed machine vision adaptive control system was successfully tested and is ready for the implementation in industrial applications, thus eliminating human subjectivity.https://doi.org/10.1155/2014/812060
collection DOAJ
language English
format Article
sources DOAJ
author Miha Pipan
Andrej Kos
Niko Herakovic
spellingShingle Miha Pipan
Andrej Kos
Niko Herakovic
Adaptive Algorithm for the Quality Control of Braided Sleeving
Advances in Mechanical Engineering
author_facet Miha Pipan
Andrej Kos
Niko Herakovic
author_sort Miha Pipan
title Adaptive Algorithm for the Quality Control of Braided Sleeving
title_short Adaptive Algorithm for the Quality Control of Braided Sleeving
title_full Adaptive Algorithm for the Quality Control of Braided Sleeving
title_fullStr Adaptive Algorithm for the Quality Control of Braided Sleeving
title_full_unstemmed Adaptive Algorithm for the Quality Control of Braided Sleeving
title_sort adaptive algorithm for the quality control of braided sleeving
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8132
publishDate 2014-09-01
description We describe the development and application of a robot vision based adaptive algorithm for the quality control of the braided sleeving of high pressure hydraulic pipes. With our approach, we can successfully overcome the limitations, such as low reliability and repeatability of braided quality, which result from the visual observation of the braided pipe surface. The braids to be analyzed come in different dimensions, colors, and braiding densities with different types of errors to be detected, as presented in this paper. Therefore, our machine vision system, consisting of a mathematical algorithm for the automatic adaptation to different types of braids and dimensions of pipes, enables the accurate quality control of braided pipe sleevings and offers the potential to be used in the production of braiding lines of pipes. The principles of the measuring method and the required equipment are given in the paper, also containing the mathematical adaptive algorithm formulation. The paper describes the experiments conducted to verify the accuracy of the algorithm. The developed machine vision adaptive control system was successfully tested and is ready for the implementation in industrial applications, thus eliminating human subjectivity.
url https://doi.org/10.1155/2014/812060
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AT andrejkos adaptivealgorithmforthequalitycontrolofbraidedsleeving
AT nikoherakovic adaptivealgorithmforthequalitycontrolofbraidedsleeving
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