Predictive Maintenance with AI: Avoid Breakdowns and Optimize Repairs

Equipment failures can cause major disruptions, but what if you could predict when something is going to break down before it happens?

In the graph above, we’ve highlighted the average usage hours and maintenance costs for different equipment in a water utility. WaterGuru analyzes sensor data like vibration, temperature, and usage hours to monitor the health of equipment. In one case, a water pump showed an anomaly that would’ve gone unnoticed, but WaterGuru flagged it for proactive replacement—preventing a costly failure and weeks of downtime.

The data comes from real equipment and logs, tracking downtime events, maintenance costs, and the age of equipment. By predicting potential failures, WaterGuru allows utilities to schedule maintenance before breakdowns occur, saving both time and money.

Imagine the savings from replacing small components in advance rather than dealing with large-scale failures. With WaterGuru, you’re moving from reactive to predictive maintenance.