How to switch to predictive maintenance in data centers

Your team performs OEM-recommended scheduled maintenance at all the recommended intervals, yet equipment emergencies still surprise, impact and frustrate them.

Instead, you can do only the necessary work and save costs on emergency repairs by seeing failures coming weeks in advance. Predictive maintenance uses sensors and condition-based monitoring to show exactly when equipment will fail, giving you time to plan repairs instead of scrambling during emergencies.

One operator with 900 generators changed oil every two years until analysis showed it stayed good through year three. That saved $600,000 in year one. That's predictive maintenance, and we built a guide to help you make the switch.

• Spot failures weeks early using sensor data
• Stop paying for unnecessary maintenance
• Move from emergency repairs to planned work
• Avoid mistakes that derail programs in 12-18 months
• Identify which assets to monitor first