ENHANCING FLIGHT SAFETY TRAINING WITH AI-GENERATED TELEMETRY DATA FOR MISSION READINESS

Abstract

Obtaining simulated or pre-recorded telemetry data is often restricted due to classification or proprietary constraints, limiting its use for training, pre-mission workups and flight safety preparation. In many cases operators only encounter real telemetry data at the first live test event. The use of AI driven tools allows for the generation of realistic flight safety values, enabling the production of simulated telemetry data streams. These values can be manipulated to represent a range of realistic flight conditions, providing the necessary complexity and situation evolution seen in high dynamic failure modes. These data can therefore be used to enhance training scenarios, by ensuring that flight safety personnel are prepared for a range of complex and realistic failure conditions. In addition, other AI-based tools have enabled historical paper records (eg Apollo 11 and past missions) to be digitised in simulated telemetry IRIG 106 Chapter 4 Pulse Code Modulation (PCM) streams and then utilised for system checkout and technician training.