Real-Time Model-Based FTI integrity monitoring with AI

Abstract

FTI migrated from an architecture based on a PCM DAS to a networked distributed system, whose central element is now a Network File Server. FTI complexity and parameter count has increased significantly, encompassing the acquisition of a huge number of measurements. So, in several cases nobody knows whereas the parameter gathering is good or not. IPEV has successfully developed a Flight Test Simulator (FTS) to improve both test flight safety and test pilot and engineer formation syllabus. To improve aircraft model accuracy IPEV is now connecting into the Real-Time environment, the test bed, the Ground Telemetry System (GTS) and FTS, so parameter identification process and model tunning could be executed while the aircraft is flying. When the simulation model becomes accurate, we will be able to integrate an AI-based background process to monitor the integrity of parameters that are not observed by the ground crew. This paper discusses IPEV actual and future efforts to achieve such goal.