ML4Industry Blog
Insights, tutorials, and case studies on machine learning for industrial applications
Posts tagged "predictive maintenance"
6 posts found
The Prognostics & RUL Cheat Sheet: A Guide for Real-World Assets
Ready to move from theory to reality with predictive maintenance? The first step is choosing the right RUL model—a choice that depends entirely on your data. This comprehensive cheat sheet demystifies the options, detailing four key methodologies.
Rik De Smet
Digital Transformation Expert
Beyond the OEM Manual: A Self-Correcting AI for Real-World RUL
An OEM manual says your motor lasts 13 years. But has it had an easy life or a hard one? This report details a modern, self-correcting AI strategy that doesn't need the full history. Discover how a hybrid model uses live sensor data to uncover an asset's true health and deliver a RUL forecast that adapts to the real world.
Rik De Smet
Digital Transformation Expert
Predicting the Future with an Incomplete Past: A Modern Guide to Asset RUL
An OEM manual gives a 13-year lifespan, but your motor has lived a unique life. This report details a modern, self-correcting AI strategy to predict Remaining Useful Life with limited historical data.
Rik De Smet
Digital Transformation Expert
The goldilocks metric: why your AI needs to stop crying wolf
What if a smoke detector with 99.9% accuracy could burn your house down? Welcome to the paradox of precision and recall—where being too good makes you terrible.
Rik De Smet
Digital Transformation expert
The truth about AI's report card: why your machine learning model might be lying to you!
Your AI model has 95% accuracy? So does a plane navigation system that only fails during landing. Not all errors are created equal.
Rik De Smet
Digital Transformation expert
Predictive maintenance readiness checklist - is your data ready for machine learning?
A comprehensive framework to evaluate whether your industrial data is ready for machine learning implementation - avoid costly mistakes and focus your predictive maintenance efforts where they'll have the biggest impact.
Rik De Smet
Digital Transformation expert