Part 5/11:
Digital Twin and Predictive Analytics
The Gasp Digital Twin converts sensor data into meaningful trends, facilitating module-level health assessments of critical engine parts like turbines and compressors. This precision reduces unnecessary repairs and prevents failures.
Furthermore, the team employs forecasting models that predict future sensor values by analyzing historical flight routes and operational environments. Understanding the non-linear and complex environment dynamics allows for accurate predictions even with highly variable data.