Objectives

Predictive maintenance is a powerful tool that allowsoptimize maintenance schedules of a fleet of equipment. This technology is based on artificial intelligence models that predict the risks of breakdowns and thus allow reduce maintenance costs And ofincrease uptime equipment.

This training will allow anyone interested in the contribution that a predictive maintenance solution can provide to understand the key steps in creating such an algorithm as well as the conditions necessary for it to function properly. With this in mind, the training will take place in 3 stages:

What is predictive maintenance?
Cloud architecture
Putting it into practice

5

maximum number of people

3 days

of training courses

French

as the main language

Prerequisites

Have participated in the training: Introduction to Data Science and AI, maintenance concepts are necessary to allow participants to project themselves on the interest of data science in this field.

Target audience

Anyone working in a maintenance context: Senior Technician, Team Leader, Team Leader, Engineer, Sales Manager, Maintenance Director, Industrial Director.

Educational resources

The training alternates between theoretical contributions and participatory sessions, including practical ones. In order to bring out as many questions as possible, the final implementation includes simplified development sessions, supervised by a data scientist who is an expert in the subject.

Instructor profiles

Optimiser la façon d’utiliser les ressources pour créer le plus de valeur possible.

Training program

What is predictive maintenance?

Principle
Data processing
Data science methodology
Deployment and performance monitoring

Cloud architecture and ROI calculation

Key principles of the cloud
Selection criteria, Pros/Cons and Interfacing
Aeronautical use cases
Security in the cloud
Methodology for calculating ROI

Putting it into practice

Practical implementation on a simple case (sensors)
Practical application on a more complex case (Turbojet)

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Introduction to Data Science and AI

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