PreMETS: Predictive Maintenance Education & Training System

Predictive Maintenance

The importance of Predictive Maintenance (PM) cannot be overstated:

PM is crucial for optimizing economic resources and fundamental infrastructure systems. Its primary function is to foresee and prevent critical infrastructure breakdowns or failures through digital approaches.

Predictive Maintenance offers numerous positive economic and social benefits:

Enhanced human safety
Increased infrastructure resilience
Energy and resource savings

Comprehensive Predictive Maintenance Systems (PMS): 

PMS is especially critical for transportation infrastructure and equipment.
It prioritizes human safety and resource preservation.
A lack of innovation, expertise, and training can lead to catastrophic disasters.

Costs of Downtime:

Various industries are affected, including Aerospace, Manufacturing, Shipping, and Wind Energy.

Downtime costs per hour:

Aerospace: €8,532 per aircraft
Manufacturing: €221,841
Shipping: €1,369 per drillship
Wind Energy: €970,320 

What is new about this initiative?

Some of the innovative aspects of this project are:

  • Development of a PM training toolkit that integrates both higher education and vocational education standards, a novel approach in the field.
  • Provision of a comprehensive trainer toolkit for three levels: academic, vocational, and corporate, enhancing accessibility and effectiveness of PM education.
  • Integration of learner analytics and online profiles to personalize educational services, fostering a student-centered learning environment.
  • Establishment of a micro-credential certification system and skill validation mechanisms, offering recognition and certification for PM skills.
  • Deployment of EITM’s Teaching Factory concept across the EU in a blended manner, facilitating practical learning experiences.
  • Creation of an applied learning environment, enabling learners to gain hands-on experience in PM practices.
  • Provision of a tool for skill forecasting, skill demand analysis, and policy making, contributing to informed decision-making in the field of PM.
  • Implementation of an in-house engine connecting resource hubs and best practices from various organizations, providing tailored knowledge to learners.

About the project

PreMETS is a ERASMUS+ project aimed at enhancing Predictive Maintenance (PM) practices by addressing the lack of comprehensive PM education in industry, academia, and vocational training. The project includes:

  • the development of innovative educational toolkits for both PM learners and trainers
  • the establishment of a micro-credential certification framework
  • the creation of a cross-disciplinary platform integrating various PM resources
  • We aim to train:
    • 1000 PM learners
    • 250 PM trainers

In PreMETS, collaboration and knowledge sharing are crucial. The project aims to share Predictive Maintenance knowledge among education, research, public sector, and business. PreMETS builds and supports effective Predictive Maintenance education systems through a digital platform. This promotes connectivity, inclusivity, innovation, and equal access to high-quality education in Predictive Maintenance. Stay connected to be one of the first to be informed when our platform goes live in our NEWSLETTER SECTION


The consortium comprises the following partnering organizations

Coordinated by

Consortium participating organizations

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Project: 101108469 — PreMETS — ERASMUS-EDU-2022-PI-ALL-INNO

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

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