• IA: This project implements an Advanced AI Layer designed to automate fault identification and streamline technical decision-making. By training on massive historical failure datasets— including high-frequency electrical and mechanical telemetry—the AI identifies the "digital fingerprints" of impending breakdowns before they successfully.(Zhou et al., 2025) • Condition Vibration Platform: Integration of automated spectral analysis to monitor the health of gearboxes and bearings, triggering early warnings of premature wear based on frequency signatures.(Wang et al., 2025) Figure 26 - Condition Monitoring App 3.3. Integration with Maintenance Management Systems • Digital Products (KMAP & REM): Bi-directional synchronization with OEM (Original Equipment Manufacturer) health monitoring platforms. Data from KMAP is integrated into the workflow so that a "High Temp" alert automatically generates an inspection order. • ROM: Standardization of reliability processes where data dictates the frequency of preventive and predictive maintenance strategies, ensuring equipment always operates at its optimal point. Figure 27 - Remote Operational Monitoring App 4. Results obtained
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