{"id":2038,"date":"2021-07-14T09:30:00","date_gmt":"2021-07-14T07:30:00","guid":{"rendered":"http:\/\/cirpicme.org\/?page_id=2038"},"modified":"2021-07-13T18:58:48","modified_gmt":"2021-07-13T16:58:48","slug":"a-framework-to-enhance-predictive-maintenance-installation-in-high-volume-production-environments-a-case-study","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/machine-tools-anomaly-detection\/a-framework-to-enhance-predictive-maintenance-installation-in-high-volume-production-environments-a-case-study\/","title":{"rendered":"A framework to enhance predictive maintenance installation in high volume production environments: A case study"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>by <em>Johannes Pan, Clemens Gutschi, Nikolaus Furian, Dominik Mizelli, Siegfried Voessner<\/em><\/em> <em>(Austria)<\/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\">The variety of different malfunctions and breakdowns can significantly impact the performance of a company. Gaining an understanding of the impact of individual components and associated failure mechanisms have on a system is crucial for its overall performance. In order to define the best mix of maintenance strategies for system components, this paper presents a systematic approach, how failure modes and maintenance parameters can be analyzed in order to derive the appropriate strategy and measures for efficient production. Not only the reliability of the components is examined, but also their influence on safety, downtime and quality.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Keywords<\/strong>: Predictive maintenance, Maintenance Selection, Criticality Analysis, Management strategy<\/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=\"1080\" style=\"aspect-ratio: 1920 \/ 1080;\" width=\"1920\" controls src=\"http:\/\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Johannes_Pan.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=\"111\" class=\"wp-image-1917\" style=\"width: 150px;\" src=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Johannes_Pan.PNG?resize=150%2C111\" alt=\"\" srcset=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Johannes_Pan.PNG?w=303&amp;ssl=1 303w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Johannes_Pan.PNG?resize=300%2C222&amp;ssl=1 300w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Johannes_Pan.PNG?resize=150%2C111&amp;ssl=1 150w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/td><td><strong>Name:<\/strong><br><br><strong>Affiliation:<\/strong><br><br><strong>Email:<\/strong><\/td><td>Johannes Pan<br><br>Technical University of Graz, Austria<br><br>johannes.pan@tugraz.at<\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>by Johannes Pan, Clemens Gutschi, Nikolaus Furian, Dominik Mizelli, Siegfried Voessner (Austria) Abstract The variety of different malfunctions and breakdowns can significantly impact the performance of a company. Gaining an understanding of the impact of individual components and associated failure mechanisms have on a system is crucial for its overall&#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/cirpicme.org\/index.php\/machine-tools-anomaly-detection\/a-framework-to-enhance-predictive-maintenance-installation-in-high-volume-production-environments-a-case-study\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":4,"featured_media":0,"parent":2311,"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-2038","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2038","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\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/comments?post=2038"}],"version-history":[{"count":1,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2038\/revisions"}],"predecessor-version":[{"id":2041,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2038\/revisions\/2041"}],"up":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2311"}],"wp:attachment":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/media?parent=2038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}