{"id":2124,"date":"2021-07-14T09:30:00","date_gmt":"2021-07-14T07:30:00","guid":{"rendered":"http:\/\/cirpicme.org\/?page_id=2124"},"modified":"2021-07-13T18:58:21","modified_gmt":"2021-07-13T16:58:21","slug":"transfer-learning-as-an-enhancement-for-reconfiguration-management-of-cyber-physical-production-systems","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/cyber-physical-systems-digital-manufacturing\/transfer-learning-as-an-enhancement-for-reconfiguration-management-of-cyber-physical-production-systems\/","title":{"rendered":"Transfer learning as an enhancement for reconfiguration management of cyber-physical production systems"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>by <em>Benjamin Maschler, Timo Mueller, Andreas Loecklin, Michael Weyrich<\/em><\/em> <em>(Germany)<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Reconfiguration demand is increasing due to frequent requirement changes for manufacturing systems. Recent approaches aim at investigating feasible configuration alternatives from which they select the optimal one. This relies on processes whose behavior is not reliant on e.g. the production sequence. However, when machine learning is used, components\u00d5 behavior depends on the process\u00d5 specifics, requiring additional concepts to successfully conduct reconfiguration management. Therefore, we propose the enhancement of the comprehensive reconfiguration management with transfer learning. This provides the ability to assess the machine learning dependent behavior of the different CPPS configurations with reduced effort and further assists the recommissioning of the chosen one. A real cyber-physical production system from the discrete manufacturing domain is utilized to demonstrate the aforementioned proposal.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Keywords<\/strong>: Case study, Cyber-physical production system, Deep learning, Intelligent digital twin, Industrial transfer learning, Lifecycle management, Qualitative analysis, Real2Sim, Reconfiguration management, Sim2Sim, Sim2Real, Use cases<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Video presentation<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video height=\"720\" style=\"aspect-ratio: 1280 \/ 720;\" width=\"1280\" controls src=\"http:\/\/cirpicme.org\/wp-content\/uploads\/2021\/06\/Benjamin_Maschler_1.mp4\"><\/video><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Presenting author<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-subtle-light-gray-background-color has-background\"><tbody><tr><td><\/td><td><\/td><td><\/td><\/tr><tr><td><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"178\" class=\"wp-image-2259\" style=\"width: 150px;\" src=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Benjamin_Maschler.jpg?resize=150%2C178\" alt=\"\" srcset=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Benjamin_Maschler.jpg?w=1810&amp;ssl=1 1810w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Benjamin_Maschler.jpg?resize=252%2C300&amp;ssl=1 252w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Benjamin_Maschler.jpg?resize=861%2C1024&amp;ssl=1 861w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Benjamin_Maschler.jpg?resize=768%2C914&amp;ssl=1 768w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Benjamin_Maschler.jpg?resize=1291%2C1536&amp;ssl=1 1291w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Benjamin_Maschler.jpg?resize=1722%2C2048&amp;ssl=1 1722w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Benjamin_Maschler.jpg?resize=126%2C150&amp;ssl=1 126w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/td><td><strong>Name:<\/strong><br><br><strong>Affiliation:<\/strong><br><br><strong>Email:<\/strong><\/td><td>Benjamin Maschler<br><br>University of Stuttgart, Germany<br><br>benjamin.maschler@ias.uni-stuttgart.de<\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>by Benjamin Maschler, Timo Mueller, Andreas Loecklin, Michael Weyrich (Germany) Abstract Reconfiguration demand is increasing due to frequent requirement changes for manufacturing systems. Recent approaches aim at investigating feasible configuration alternatives from which they select the optimal one. This relies on processes whose behavior is not reliant on e.g. the&#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/cirpicme.org\/index.php\/cyber-physical-systems-digital-manufacturing\/transfer-learning-as-an-enhancement-for-reconfiguration-management-of-cyber-physical-production-systems\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":9,"featured_media":0,"parent":2349,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-2124","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2124","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/comments?post=2124"}],"version-history":[{"count":3,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2124\/revisions"}],"predecessor-version":[{"id":2361,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2124\/revisions\/2361"}],"up":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2349"}],"wp:attachment":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/media?parent=2124"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}