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 strongly operational approach, providing participants with the tools to understand which technique to apply, in which situations, and with what expected benefits. The goal is to guide companies in designing more effective and proactive maintenance interventions that can improve plant reliability and reduce downtime.

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, even in the absence of data collected in real time.

Leading the participants will be Luca Girelli, predictive maintenance expert and Asset Management Manager at Mipu Machine Care, and Alessandro Gaiotto, Materials Engineer and Asset Integrity Manager at Novamont SpA.

The initiative is aimed at maintenance managers and technicians, plant and production site managers, innovation managers and reliability engineers.

Download the full course brochure!

For more information, Maria De Fazio can be contacted at
T. 075582741; formazione@umbriaschool.it.