## 3 Results
### Cloud Technology as a Core Component of HMGT
#### 3.11.3 Level 3: Virtual Center  
At the highest level, AI synthesizes data from individual aircraft and MRO centers to inform long-term strategic decisions, such as fleet renewal, expansion, and long-term budgeting for maintenance and operations. AI monitors compliance with aviation regulations and safety standards across the fleet, using data analytics to identify areas of risk or non-compliance and suggesting corrective actions. The AI integrates external data sources, such as weather information, air traffic data, and manufacturer notices, with internal fleet data to enhance operational planning, safety, and efficiency. Utilizing machine learning and big data analytics, AI at the virtual center level develops sophisticated predictive models that forecast fleet-wide trends, maintenance needs, and operational optimizations. Across all levels, AI functionality is tailored to the specific needs and operational focus of each tier, from real-time decision-making onboard aircraft to strategic planning at the virtual center. The integration and communication between these levels ensure a cohesive and comprehensive approach to aviation health management, leveraging AI to enhance safety, efficiency, and reliability across the aviation ecosystem. This multi-tiered AI application facilitates a proactive and predictive maintenance strategy, transforming traditional reactive approaches into a more advanced, data-driven paradigm. The functionality of an aviation HMGT system varies between dynamic (in-flight) operations and stationery (on-ground) activities across the three hierarchical levels: airplane, MRO, and virtual center. Table 7 illustrates this distinction. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Level**} & \multicolumn{2}{c}{**Dynamic Functionality**} & \multicolumn{2}{c}{**Stationary Functionality**} \\  & \multicolumn{2}{c}{**(In Flight)**} & \multicolumn{2}{c}{**(On Ground)**} \\ \hline  & - & Real-time monitoring of aircraft & - & Detailed system diagnostics and \\  & & systems and components. & & data download for in-depth \\  & - & Immediate fault detection and & - & Maintenance activities based on \\  & & preliminary diagnostics. & & predictive alerts issued in flight. \\ Airplane & - & Predictive alerts for maintenance & - & Software updates and system \\  & - & Energy handling and & - & Calibrations. \\  & & recommendations. & - & Data synchronization with \\  & & ground systems for historical & analysis. \\ \hline \hline \end{tabular}
\end{table} 
Table 7: HMGT functionality across different levels in dynamic and stationary activities. This table showcases how the health management system's functionality adapts to the operational status of the aircraft, ensuring continuous health monitoring, maintenance optimization, and strategic decision-making both in flight and on the ground. Intermediate landings present a unique opportunity to perform certain health management tasks that are typically categorized under \"Stationary Functionality\", albeit in a more time-constrained environment (Table 8). This situation bridges the gap between dynamic and stationary functionalities, utilizing the short ground time for immediate maintenance actions, diagnostics, and data synchronization activities that cannot be performed in flight but are too urgent to wait for extended ground time.