{"id":3259,"date":"2019-02-06T14:04:53","date_gmt":"2019-02-06T14:04:53","guid":{"rendered":"https:\/\/www.uptime-h2020.eu\/?page_id=3259"},"modified":"2021-02-26T11:53:20","modified_gmt":"2021-02-26T11:53:20","slug":"results-downloads","status":"publish","type":"page","link":"https:\/\/www.uptime-h2020.eu\/index.php\/results-downloads\/","title":{"rendered":"Results & Downloads"},"content":{"rendered":"\t\t
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RESULTS & DOWNLOADS<\/strong><\/h2>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Presentations<\/span><\/b><\/h4>\n\n\n\n
UPTIME Project Overview – Digital Platforms in Manufacturing (Brussels, 5-6- Feb. 2018)<\/a>\n[PDF]<\/a><\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
Towards a Unified Predictive Maintenance System – A Use Case in Production Logistics in Aeronautics (Cranfield, 6 Nov. 2018) <\/a>[PDF]<\/a><\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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\u00a0 Scientific Publications<\/b><\/h4>\n\n\n\n
Bousdekis A., Lepenioti K., Apostolou D., Mentzas G. (2019) Decision Making in Predictive Maintenance: Literature Review and Research Agenda for Industry 4.0<\/u><\/a><\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
Bousdekis A., Lepenioti K., Ntalaperas D., Vergeti D., Apostolou D., Boursinos V. (2019) A RAMI 4.0 View of Predictive Maintenance: Software Architecture, Platform and Case Study in Steel Industry<\/u><\/a><\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
Pertselakis M., Lampathaki F., Petrali P. (2019) Predictive Maintenance in a Digital Factory Shop-Floor: Data Mining on Historical and Operational Data Coming from Manufacturers\u2019 Information Systems<\/u><\/a><\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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Newsletters<\/b><\/h4>
Mar 2021<\/td>Newsletter No. 8 [\u2192 ]<\/td><\/tr><\/tbody><\/table>
Nov 2020<\/td>Newsletter No. 7 [\u2192 ]<\/a><\/td><\/tr><\/tbody><\/table>
Jun 2020<\/td>Newsletter No. 6 [\u2192 ]<\/a><\/td><\/tr><\/tbody><\/table>
Jan 2020<\/td>Newsletter No. 5 [\u2192 ]<\/a><\/td><\/tr><\/tbody><\/table>
Sep 2019<\/td>Newsletter No. 4 [\u2192 ]<\/a><\/td><\/tr><\/tbody><\/table>
May\u00a0 2019<\/td>Newsletter No. 3 [\u2192 ]<\/a><\/td><\/tr><\/tbody><\/table>
Jan\u00a0 2019<\/td>Newsletter No. 2 [\u2192 ]<\/a><\/td><\/tr><\/tbody><\/table>
Oct\u00a0 2018<\/td>Newsletter No. 1 [\u2192 ]<\/a><\/td><\/tr><\/tbody><\/table>

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RINA Strategic Intelligence Platform <\/strong><\/h4>
Database for Predictive Maintenance Models, Techniques & Platforms <\/em><\/h5>

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RINA Strategic Intelligence Platform serves as an UPTIME database, which provides an overview of and assessment to the state-of-play of predictive maintenance models, techniques and platforms, covering a broad spectrum of platforms and techniques, in order to define the technical concept of UPTIME,\u00a0 technical elements for specifications and design decisions of UPTIME platform architecture. The database is accessible here <\/u><\/a>.<\/p>

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\u00a0 Press Releases<\/b><\/h4>\n\n\n\n
07.03.2019<\/td>\nUBITECH demonstrates UPTIME predictive maintenance technologies in GLOBAL INDUSTRIE [\u2192 Article]<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
05.03.2019<\/td>\nRINA participates at the GLOBAL INDUSTRIE 2019 [\u2192 Article]<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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Deliverables<\/b><\/h4>\n\n\n\n\n\n
D1.1 State-of-Play Analysis on Predictive Maintenace Models, Techniques & Platforms<\/a>\n[PDF]<\/a><\/td>\n<\/tr>\n<\/tbody>\n
D8.1 Market Research<\/a>\n[PDF]<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n
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Dissemination\n<\/b><\/h4>\n

Click here to find UPTIME dissemination materials.<\/p>\n

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All Dissemination Materials<\/a><\/p>\n\n<\/div>\n<\/div>\n

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RESULTS & DOWNLOADS https:\/\/www.youtube.com\/watch?v=kT6cXLhpUVM Presentations UPTIME Project Overview – Digital Platforms in Manufacturing (Brussels, 5-6- Feb. 2018) [PDF] Towards a Unified Predictive Maintenance System – A Use Case in Production Logistics in Aeronautics (Cranfield, 6 Nov. 2018) [PDF] All Presentations \u00a0 Scientific Publications Bousdekis A., Lepenioti K., Apostolou D., Mentzas G. (2019) Decision Making in Predictive Maintenance: Literature Review and […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-3259","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.uptime-h2020.eu\/index.php\/wp-json\/wp\/v2\/pages\/3259","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.uptime-h2020.eu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.uptime-h2020.eu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.uptime-h2020.eu\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.uptime-h2020.eu\/index.php\/wp-json\/wp\/v2\/comments?post=3259"}],"version-history":[{"count":239,"href":"https:\/\/www.uptime-h2020.eu\/index.php\/wp-json\/wp\/v2\/pages\/3259\/revisions"}],"predecessor-version":[{"id":6951,"href":"https:\/\/www.uptime-h2020.eu\/index.php\/wp-json\/wp\/v2\/pages\/3259\/revisions\/6951"}],"wp:attachment":[{"href":"https:\/\/www.uptime-h2020.eu\/index.php\/wp-json\/wp\/v2\/media?parent=3259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}