How to apply AI to migrate from preventive maintenance to predictive maintenance

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Addressed to: Maintenance Managers, Plant Managers, R&D Managers, Maintenance Data Scientists, Innovation Project Managers.

Course overview

MIPU AI School organizes a course entirely dedicated to the potential of Artificial Intelligence in the Maintenance Management field. In particular, we will explore how AI acts as a fundamental support in the transition from maintenance policies based on preventive maintenance to predictive maintenance policies.

The aim of the course is to discover the opportunities given by Artificial Intelligence to optimize the management of maintenance policies.

Course contents

Introduction: difference between preventive maintenance, on-condition and predictive maintenance
Data maintenance and dataset creation
Two approaches to Predictive Maintenance: regression and classification, which one to use and when?
Algorithms
Control tools and regression metrics
Control tools and classification metrics
Case Studies

Length: from 9:00 to 18:00 (8 hours)
Price: € 450,00 + VAT

Materials

Tools

Slides and case studies for both theoretical and practical training

Assessment

At the end of the course you can ask for an evaluation of your company's data architecture

Certificate of attendance

At the end of the course you will receive a certificate to prove your attendance

Join the course!

Leave your contact details and you will be contacted to complete your enrollment.