A 15MW utility-scale plant in Karnataka needed a step change in how it handled inverter health. Reactive maintenance meant every failure arrived as an unplanned outage, and the cost of downtime at this scale was material.
The challenge
Inverter failures were showing up without warning in the operations logs, forcing emergency truck rolls and days of lost production. The plant lacked any way to see the thermal and electrical drift that precedes a hard failure.
Our approach
SolarTrust deployed predictive analytics over the plant’s inverter data, baselining normal thermals and flagging trend deviations before they reached alarm thresholds. Alerts were routed to technicians with a clear action list.
Results delivered
- Inverter faults flagged 48 hours before failure.
- Unplanned downtime cut sharply across the fleet.
- Maintenance dispatched on trend, not on breakdown.
