What if your maintenance team could see the future? Predictive Maintenance (PdM) makes it possible to prevent costly failures before they happen.
In this episode we go beyond the buzzwords and show how artificial intelligence and simple sensor data transform maintenance from a cost centre into a proactive function that maximises machine availability.
In this episode, you’ll discover
- The difference between reactive, preventive and predictive maintenance, and why it matters for the bottom line
- How AI finds failure patterns in machine data that are invisible to the human eye
- Which data to collect now, from vibration and temperature to cycle times, to predict breakdowns
- How a steel mill cut crane downtime by 40% and a plastics plant reduced extruder failures by 35%
- A step-by-step roadmap to roll out PdM, starting with the most critical assets
Read the full article: dbr77.com/predictive-maintenance-ending-unplanned-downtime
Want to see how this works in your plant? Book a free session with a DBR77 expert: Book a meeting
Listen to Factory on Air on Spotify or watch all episodes on YouTube.
