Predictive Maintenance

GridBrain.ai

Move from calendar-based scheduling to condition-based action. Monitor real-time asset health, calculate remaining useful life, and optimize maintenance dispatch.

Fix It Before It Fails.

Traditional maintenance is either too early—wasting valuable CapEx and crew time on healthy equipment—or too late, resulting in catastrophic failure and prolonged customer outages.

GridBrain’s Predictive Maintenance solution ingests SCADA, IoT, and historical data to continuously evaluate the degradation curve of transformers, breakers, and lines. By accurately forecasting when an asset will fail, you can dispatch crews exactly when needed, maximizing asset lifespan while virtually eliminating unexpected breakdowns.

Predictive Maintenance Interface

Solution Capabilities

Dynamic Health Scoring

Track a real-time 0-100 health index for every critical asset based on thermal stress, load history, and environmental factors.

Remaining Useful Life (RUL)

Use advanced deterioration models to accurately project the exact month or week an asset will cross into critical failure territory.

Scheduling Optimization

Automatically cluster maintenance tasks by geographic region and risk severity to optimize truck rolls and crew dispatch.

Explore Other Solutions

Discover more outcome-driven workflows built on GridBrain.

Outage Prevention

Early warning, Causal triage, and interventions.

Loss Reduction

Theft/leak workflows with evidence graphs.

DER Optimization

Dispatch, peak shaving, and ramp control.