This joint project between QCRI and Boeing Company aims to predict aircraft parts that need replacement before failure occurs. This involves finding the possible physical parts that may have caused the maintenance messages (MMSGs) to appear in the flight leg, even before flight deck effects (FDEs) alerts utilizing embedding space coupling with graph theory algorithms. This framework was integrated into the Aircraft Health Management (AHM) system to track all faults in real-time.