Predictive maintenance (Pilot)

SUMMARY

              In the previous lesson, we looked at the challenges of industrial maintenance. In particular, we learned to distinguish between corrective maintenance, curative maintenance and preventive maintenance. We also saw the difference between systematic and condition-based preventive maintenance.

              Now we’re going to understand how predictive maintenance, by virtue of its proactivity, is a revolution in relation to the classic framework of historical maintenance, and how it opens the way to new possibilities in Industry 4.0.

About The Author

Killian Niel is a data scientist and a pedagogical engineer at the Ecole de Génie Industriel of Grenoble INP in France. He is particularly attracted to the application of machine learning to solve industrial problems. He is interested in confidentiality issues in the field of artificial intelligence and carried out a research and development project about privacy-preserving machine learning techniques for a SME.