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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| Veröffentlicht in: | Advances in Mechanical Engineering 2014-01, Vol.6, p.812060 |
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| creator | Pipan, Miha Kos, Andrej Herakovic, Niko |
| 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. |
| doi_str_mv | 10.1155/2014/812060 |
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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.</description><identifier>ISSN: 1687-8132</identifier><identifier>ISSN: 1687-8140</identifier><identifier>EISSN: 1687-8140</identifier><identifier>EISSN: 1687-8132</identifier><identifier>DOI: 10.1155/2014/812060</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adaptive algorithms ; Algorithms ; Braiding ; Cameras ; Defective products ; Defects ; Error correction & detection ; Mathematical analysis ; Mathematical models ; Neural networks ; Pipe ; Quality control ; Robots ; Rubber ; Sleeving ; Statistical methods ; Vision systems</subject><ispartof>Advances in Mechanical Engineering, 2014-01, Vol.6, p.812060</ispartof><rights>2014 Miha Pipan et al.</rights><rights>Copyright © 2014 Miha Pipan et al. Miha Pipan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a566t-194b835f218ab5ceca249d2985667e891e99bef80843dd6cc947e3004d75e7143</citedby><cites>FETCH-LOGICAL-a566t-194b835f218ab5ceca249d2985667e891e99bef80843dd6cc947e3004d75e7143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1155/2014/812060$$EPDF$$P50$$Gsage$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1155/2014/812060$$EHTML$$P50$$Gsage$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,21945,27830,27901,27902,44921,45309</link.rule.ids></links><search><creatorcontrib>Pipan, Miha</creatorcontrib><creatorcontrib>Kos, Andrej</creatorcontrib><creatorcontrib>Herakovic, Niko</creatorcontrib><title>Adaptive Algorithm for the Quality Control of Braided Sleeving</title><title>Advances in Mechanical Engineering</title><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.</description><subject>Adaptive algorithms</subject><subject>Algorithms</subject><subject>Braiding</subject><subject>Cameras</subject><subject>Defective products</subject><subject>Defects</subject><subject>Error correction & detection</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Neural networks</subject><subject>Pipe</subject><subject>Quality control</subject><subject>Robots</subject><subject>Rubber</subject><subject>Sleeving</subject><subject>Statistical methods</subject><subject>Vision systems</subject><issn>1687-8132</issn><issn>1687-8140</issn><issn>1687-8140</issn><issn>1687-8132</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptkVtLw0AQhYMoWGqf_AMBXwSp3c1esvsi1OKlIIioz8smO0m3pNm6mxT6702MVBGfZpg5fGeGE0XnGF1jzNgsQZjOBE4QR0fRCHORTgWm6PjQk-Q0moRgM8Q6DeJSjqKbudHbxu4gnlel87ZZbeLC-bhZQfzS6so2-3jh6sa7KnZFfOu1NWDi1wpgZ-vyLDopdBVg8l3H0fv93dvicfr0_LBczJ-mmnHeTLGkmSCsSLDQGcsh1wmVJpGi26YgJAYpMygEEpQYw_Nc0hQIQtSkDFJMyThaDlzj9Fptvd1ov1dOW_U1cL5U2jc2r0CxJCt0ZkSeMtS5cokyg6QxwIUGwKJjXQ6srXcfLYRGbWzIoap0Da4NCvNEkpRw2dte_JGuXevr7lOFGScSp4T2wKtBlXsXgoficCBGqo9G9dGoIZof-6BL-MX7R_oJ6r6Jzw</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Pipan, Miha</creator><creator>Kos, Andrej</creator><creator>Herakovic, Niko</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><general>SAGE Publishing</general><scope>AFRWT</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope></search><sort><creationdate>20140101</creationdate><title>Adaptive Algorithm for the Quality Control of Braided Sleeving</title><author>Pipan, Miha ; Kos, Andrej ; Herakovic, Niko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a566t-194b835f218ab5ceca249d2985667e891e99bef80843dd6cc947e3004d75e7143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adaptive algorithms</topic><topic>Algorithms</topic><topic>Braiding</topic><topic>Cameras</topic><topic>Defective products</topic><topic>Defects</topic><topic>Error correction & detection</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Neural networks</topic><topic>Pipe</topic><topic>Quality control</topic><topic>Robots</topic><topic>Rubber</topic><topic>Sleeving</topic><topic>Statistical methods</topic><topic>Vision systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pipan, Miha</creatorcontrib><creatorcontrib>Kos, Andrej</creatorcontrib><creatorcontrib>Herakovic, Niko</creatorcontrib><collection>Sage Journals GOLD Open Access 2024</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Advances in Mechanical Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pipan, Miha</au><au>Kos, Andrej</au><au>Herakovic, Niko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Algorithm for the Quality Control of Braided Sleeving</atitle><jtitle>Advances in Mechanical Engineering</jtitle><date>2014-01-01</date><risdate>2014</risdate><volume>6</volume><spage>812060</spage><pages>812060-</pages><issn>1687-8132</issn><issn>1687-8140</issn><eissn>1687-8140</eissn><eissn>1687-8132</eissn><abstract>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.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1155/2014/812060</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Adaptive algorithms Algorithms Braiding Cameras Defective products Defects Error correction & detection Mathematical analysis Mathematical models Neural networks Pipe Quality control Robots Rubber Sleeving Statistical methods Vision systems |
| title | Adaptive Algorithm for the Quality Control of Braided Sleeving |
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