Predictive maintenance models with a focus on class balance | by Leo Anello | January 2025

From model creation to implementation: creating a technology-optimized predictive maintenance system

Now I am going to explain to you a project that involves Predictive maintenance recommendation systems integrated with IoT (Internet of Things) to reduce unplanned downtime.

The idea is to use data from IoT sensors from industrial equipment; Of course, we will work with fictitious data, but they will simulate what real data would be within a company.

We will use this data to create a complete machine learning based recommendation system. On the road, I will place a strong emphasis on driving imbalanced data.

I will at least introduce you 5 different techniques To you. we will create five model versions. In the end, we will select the best model, justify our choice, test the model, and then deploy it through a web application using illuminated.

So we have quite a bit of work ahead of us. The link to the project on my GitHub will be at the end of this tutorialalong with the bibliography and reference links so you can consult if you wish.

Let me know if this setting meets your expectations or if there's anything else you'd like to tweak!