{"id":3460,"date":"2026-01-28T16:33:23","date_gmt":"2026-01-28T16:33:23","guid":{"rendered":"https:\/\/www.umbriaschool.it\/predictive-maintenance-techniques-course\/"},"modified":"2026-01-28T16:33:23","modified_gmt":"2026-01-28T16:33:23","slug":"predictive-maintenance-techniques-course","status":"publish","type":"post","link":"https:\/\/www.umbriaschool.it\/en\/predictive-maintenance-techniques-course\/","title":{"rendered":"Predictive Maintenance Techniques Course"},"content":{"rendered":"

A new course will kick off on March 26 <\/strong>. “Predictive Maintenance Techniques.”<\/strong><\/a>. A specialized training course designed to support companies in introducing and developing field predictive maintenance plans, even in industrial settings where real-time data collection systems are not available. <\/p>\n

The course offers a structured overview of the main predictive maintenance techniques<\/strong>, with a strongly operational approach, providing participants with the tools to understand which technique to apply, in which situations, and with what expected benefits.<\/strong> The goal is to guide companies in designing more effective and proactive maintenance interventions that can improve plant reliability and reduce downtime<\/strong>. <\/p>\n

The alternation of theoretical insights, practical exercises and moments of discussion will make it possible to concretely organize a predictive maintenance plan and make the content covered immediately applicable in the company<\/strong>, even in the absence of data collected in real time.<\/p>\n

Leading the participants will be Luca Girelli<\/strong>, predictive maintenance expert and Asset Management Manager at Mipu Machine Care, and Alessandro Gaiotto<\/strong>, Materials Engineer and Asset Integrity Manager at Novamont SpA.<\/p>\n

The initiative is aimed at maintenance managers and technicians<\/strong>, plant and production site<\/strong> managers, innovation managers and reliability engineers<\/strong>.<\/p>\n

Download the full course brochure! <\/strong><\/a><\/p>\n

For more information, Maria De Fazio can be contacted at
\nT. 075582741;<\/a> formazione@umbriaschool.it.<\/a><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

A new course will kick off on March 26 . “Predictive Maintenance Techniques.”. A specialized training course designed to support companies in introducing and developing field predictive maintenance plans, even in industrial settings where real-time data collection systems are not available. The course offers a structured overview of the main predictive maintenance techniques, with a […]<\/p>\n","protected":false},"author":31,"featured_media":3457,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[53],"tags":[],"class_list":["post-3460","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-en"],"acf":[],"yoast_head":"\nPredictive Maintenance Techniques Course - Umbria Business School<\/title>\n<meta name=\"description\" content=\"Training course to support companies in introducing and developing predictive field maintenance plans. 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