Practical AI education for the people who keep machines running

What we believe

• Start from the machine. Good models come from understanding failure modes, physics and the maintenance workflow, not only from algorithms.
• Show the baseline. Every method is compared with the classical approach it aims to improve, so you can judge what it actually adds.
• Learn by doing. Interactive explainers and apps you can run on your own data teach more than slides.
• Be honest about limits. Data is messy, labels are scarce and models drift. We say so.
• Privacy by default. Our apps run in your browser; your data stays with you. The optional Vibe Assistant sends only the summary and images you choose to share, and needs a free account.

What you will find here

• PdM Program Guide: how to set up a predictive maintenance program end to end, from criticality to wireless sensors and KPIs.
• Learn: nine topics on machine learning for maintenance, from foundations to advanced methods, each with interactive illustrations and a quiz.
• Apps: a PdM program planning tool, vibration and motor current analyzers, plus six machine-learning labs for detection, diagnosis, prognosis and computer vision.
• Vibe Coding: how engineers use AI agents to build their own tools, and how to verify them.
• Resources: talks, interviews, webinars and public datasets.

Disclaimer

Content and apps are provided for education and decision support. They do not replace a qualified analyst, the equipment manufacturer's guidance or your site's safety procedures. Always confirm findings before acting on equipment.

Contact

Questions, corrections and ideas are welcome at info@predictivemaintenance.app.

Support the site

The site is free and ad-free. If it helps you, you can support it.