DSFB Structural Semiotics Engine for Gas Turbine Jet Engine Health Monitoring: A Deterministic Augmentation Layer for Typed Residual Interpretation over Engine Health Monitoring, Gas Path Analysis, and Prognostics and Health Management Systems in Aircraft and Industrial Gas Turbine Applications

Gas turbine engine health monitoring (EHM) systems produce rich streamsof health-parameter residuals derived from gas path analysis (GPA),Kalman filtering, and related estimation frameworks. In current practice,these residuals are primarily treated as scalar magnitudes for thresholdcomparison or as inputs to probabilistic prognostic models. As a result,the temporal structure of residual trajectories—specifically theirdirection, persistence, and curvature—is often not explicitly formalizedor exposed for interpretation. This paper introduces the DSFB (Drift–Slew Fusion Bootstrap) StructuralSemiotics Engine as a deterministic, non-intrusive augmentation layerfor interpreting residual dynamics in gas turbine…