{"id":6866,"date":"2025-02-03T12:17:24","date_gmt":"2025-02-03T11:17:24","guid":{"rendered":"https:\/\/www.gmbu.de\/?p=6866"},"modified":"2025-02-05T10:24:02","modified_gmt":"2025-02-05T09:24:02","slug":"condition-monitoring-mit-ki-ml","status":"publish","type":"post","link":"https:\/\/www.gmbu.de\/en\/fachsektionen\/condition-monitoring-mit-ki-ml\/","title":{"rendered":"Condition Monitoring with KI\/ML"},"content":{"rendered":"\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>VIPFLUID<\/strong> <br>Predictive maintenance for pump systems based on federated learning and synthesis of multiple sensor data-Subproject vibration diagnostics, feature extraction, fault diagnostics<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Climate change and also dwindling resources require careful and sustainable handling in the wastewater industry too. Innovative solutions based on digital technologies offer the opportunity to save resources and at the same time contribute to strengthening the resilience of critical infrastructures.<br>VIPFLUID aims to record the status data of wastewater pumps using suitable sensor technology and utilise it for machine learning. Adaptive sensor technology and an intelligent sensor hub will initially record the pump data and pre-process it locally at the edge in order to send a compressed data stream to local computing resources (fog). Synthetic data through machine learning (ML) then enables local and resource-saving, adaptive models for forecasting.<br>The software solutions developed are based on generative neural networks and federated learning and are intended to establish the use of machine learning in the field of predictive maintenance in an economical and ecological manner. This enables proactive maintenance and minimises reactive action. This avoids expensive and system-critical failures and significantly improves process reliability. The reliable prediction results generated enable a significant reduction in maintenance resources is made possible. This technology enables a significant reduction in CO2 emissions and thus supports the achievement of climate and environmental protection targets.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Partnership:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u0095 Technische Universit\u00e4t Dresden<\/li>\n\n\n\n<li>\u0095 Herborner Pumpentechnik GmbH &#038; Co KG<\/li>\n\n\n\n<li>\u0095 Gesellschaft zur F\u00f6rderung von Medizin-, Bio- und Umwelttechnologien (GMBU e. V.)<\/li>\n\n\n\n<li>\u0095 Ingenieurbetrieb f\u00fcr Automatisierungstechnik Rudolphi &#038; Rau GmbH<\/li>\n\n\n\n<li>\u0095 Pumpen-Service-Deutschland GmbH<\/li>\n\n\n\n<li>\u0095 SPEKTRA Schwingungstechnik und Akustik GmbH Dresden<\/li>\n<\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Further Informations: <a href=\"http:\/\/www.vipfluid.de\">www.vipfluid.de<\/a><\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"640\" height=\"554\" data-id=\"6873\" src=\"https:\/\/www.gmbu.de\/wp-content\/uploads\/2025\/02\/HAL_MACHD_355_COND_KI1.jpg\" alt=\"\" class=\"wp-image-6873\" srcset=\"https:\/\/www.gmbu.de\/wp-content\/uploads\/2025\/02\/HAL_MACHD_355_COND_KI1.jpg 640w, https:\/\/www.gmbu.de\/wp-content\/uploads\/2025\/02\/HAL_MACHD_355_COND_KI1-300x260.jpg 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"722\" height=\"500\" data-id=\"6874\" src=\"https:\/\/www.gmbu.de\/wp-content\/uploads\/2025\/02\/HAL_MACHD_355_COND_KI2-1.jpg\" alt=\"\" class=\"wp-image-6874\" srcset=\"https:\/\/www.gmbu.de\/wp-content\/uploads\/2025\/02\/HAL_MACHD_355_COND_KI2-1.jpg 722w, https:\/\/www.gmbu.de\/wp-content\/uploads\/2025\/02\/HAL_MACHD_355_COND_KI2-1-300x208.jpg 300w\" sizes=\"(max-width: 722px) 100vw, 722px\" \/><\/figure>\n<\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:44% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" width=\"269\" height=\"130\" src=\"https:\/\/www.gmbu.de\/wp-content\/uploads\/2025\/02\/HAL_MACHD_355_COND_KI3.jpg\" alt=\"\" class=\"wp-image-6876 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<p><br><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Projektlaufzeit: 01.05.2023 bis 30.04.2026<\/li>\n\n\n\n<li>Teilprojekt: GMBU Halle<\/li>\n\n\n\n<li>Ansprechpartner: Dr. Stefan Gai<\/li>\n\n\n\n<li>Tel:         0345777 96 40<\/li>\n\n\n\n<li>E-Mail:   stefangai@gmbu.de<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>VIPFLUID Predictive maintenance for pump systems based on federated learning and synthesis of multiple sensor data-Subproject vibration diagnostics, feature extraction, fault diagnostics Climate change and also dwindling resources require careful and sustainable handling in the wastewater industry too. Innovative solutions based on digital technologies offer the opportunity to save resources and at the same time [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":6868,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15,16,18,41],"tags":[],"class_list":["post-6866","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-fachsektionen","category-halle","category-innovationsfelder","category-maschinendiagnose"],"_links":{"self":[{"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/posts\/6866","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/comments?post=6866"}],"version-history":[{"count":22,"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/posts\/6866\/revisions"}],"predecessor-version":[{"id":6900,"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/posts\/6866\/revisions\/6900"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/media\/6868"}],"wp:attachment":[{"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/media?parent=6866"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/categories?post=6866"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.gmbu.de\/en\/wp-json\/wp\/v2\/tags?post=6866"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}