Predictive Maintenance for Electric Grids - SAS

Each year, nearly one-third of power outages are caused by equipment failures, costing utilities millions in repairs, lost revenue, and dissatisfied customers. These outages impact homes, schools, businesses, and factories, and pose safety risks to repair crews. Utilities need a proactive approach to identify and address grid vulnerabilities before failures occur.

Grid Guardian AI is a predictive grid maintenance solution that combines mobile IoT sensors and advanced AI analytics to transform grid reliability. Utilizing sensors mounted on utility and service vehicles, the system collects real-time radiofrequency (RF) emission data from transmission lines. AI and machine learning algorithms analyze these signals, identifying early signs of equipment stress or failure.

This mobile, edge-computing-based approach eliminates the need for installing new hardware on the grid itself. Utilities gain actionable insights into potential overhead equipment failures, allowing them to prioritize maintenance, optimize capital expenditures, and reduce outages. With this proactive strategy, utilities can enhance service reliability, ensure safety, and improve customer satisfaction while cutting operational costs.