The innovation combines predictive analytics, digital twin technology, and AI in a customizable deployment for enhanced system monitoring and failure prevention.

High cost of turbine failure and limited enhancement to OEM packages.

Digital twin uses sensor data and heuristic learning to predict failure.

An advanced software solution that integrates AI with physics-based models to form a digital twin of turbine systems. By combining real-time sensor data with heuristic learning, the system accurately predicts tripping events, reducing the risk of costly turbine failures and enhancing the capabilities beyond standard OEM packages.