## 3 Results
### Digital Twin Technology Potential for HMGT  
Digital twin technology is a game-changer in the realm of aviation health management, offering a multitude of benefits that can enhance the efficiency, safety, and reliability of aircraft operations. \begin{table}
\begin{tabular}{p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt}} \hline \hline
**Decision-Making** & **IoT Actions** & & & **AI Actions** & **Blockchain Actions** \\ \hline Maintenance type recommendation & - & Supplies detailed operational data to inform & - & Uses predictive models to recommend specific types of maintenance based on data analysis. - & Records recommendations ensuring compliance and verification. \\  & & decision-making. & - & Optimizes maintenance schedules to minimize downtime. - & - Ensures maintenance schedules to minimize downtime. - & - Ensures maintenance schedules are securely shared and immutable. \\ \hline Scheduling maintenance operations & - & Offers availability status of aircraft systems. & - & Optimizes maintenance to minimize downtime. - & - Ensures maintenance schedules are securely shared and immutable. \\ \hline Resource allocation & - & Monitors resource usage and availability. & - & Dynamically allocates resources (e.g., parts, crew) using optimization algorithms. - & Provides a secure record of resource allocations and adjustments. \\  & & & - & Predicts future resource needs based on operational trends. \\ \hline Failure prediction & - & Continuously monitors equipment to capture performance data. & - & Employs machine learning algorithms to predict potential failures before they & - & Secures predictions and related data for transparency and traceability. \\  & & & & occur. & transparency and transparency \\  & & & & assessment based on current and historical data. & \\  & & & & data. & \\ Operational efficiency improvement & - & Collects comprehensive performance data across all flights. & - & Analyzes performance data to identify inefficiencies. & - & Certifies that all operational adjustments are recorded and optimizing operational requirements. \\ \hline Compliance verification & - & Ensures data required for compliance are accurately collected. & - & Automatically checks regulatory standards using real-time data. - & Immutable logging of compliance checks and outcomes ensures accountability. \\  & & & & reports and highlights & & accountability. \\ \hline Safety enhancements & - & Provides data on environmental and operational conditions. & - & Analyzes safety-critical data to forecast potential safety issues. - & - & Creates an unalterable record of safety incidents and responses. \\  & & & & learning to enhance predictive safety measures. & - & \\ \hline Cost optimization & - & Tracks cost-related data from operations. & - & Analyzes cost data to identify areas for potential savings. - & Blockchain ensures transparency in financial transactions and cost-related decisions. \\ \hline \hline \end{tabular}
\end{table} 
Table 10: _Cont._Digital twins enable predictive maintenance by creating virtual models of aircraft that are continuously updated with real-time data from onboard sensors. These models can simulate the aircraft's performance under various conditions and predict when parts might fail or require service. By anticipating maintenance needs, airlines can plan maintenance activities proactively, minimizing downtime and extending the life of aircraft components. With a digital twin, every aspect of the aircraft's health can be monitored in real time, providing an immediate snapshot of its status. This capability allows for in-depth simulations of potential scenarios, helping to identify potential issues before they occur and testing solutions virtually before implementing them in the real world. Digital twins facilitate more informed decision-making by providing a comprehensive and accurate representation of the aircraft's current and predicted future states.