Journal of Airline Operations and Aviation Management

Aerospace engine maintenance increasingly requires sophisticated precision, which has spurred the development of digital twin technologies integrated with smart interfaces for performing real-time engine diagnostics. This work outlines a low-code implementation of a digital twin dashboard for monitoring the thermal stress profiling of turbine blades temperature in jet engines with telemetry on Oracle APEX. The system uses embedded, high-fidelity temperature and vibration sensors to capture telemetry and transform complex thermal profiles into visual stress maps, which can be interpreted by aerospace engineers in near real-time. The dashboard provides multi-dimensional visualization with dynamic thermal contour overlay, critical zone detection, and predictive indicators of fatigue failure based on accumulated stress cycle. The entire system was developed in Oracle APEX which allows for rapid development and deployment within confined aerospace IT environments, coupled with secure cross-domain aircraft maintenance databases and parts inventory systems. An embedded time-series analysis engine in the interface enables operators to replay thermal cycles under various flight conditions to pinpoint outlier stress accumulation patterns. The simulation results confirm over 92% correlation capture blade stress trends to FEM-based ground truth models, demonstrating reliability of the platform. The prototype analysis conducted with GE and Rolls-Royce engines reveals the capabilities for reducing unscheduled maintenance by preemptively identifying thermal fatigue thermal deterioration discrepancies. This research outlines the possibilities of Oracle APEX being extended as a lightweight aerospace-grade visualization and control layer for digital twin ecosystems.