Digital Twin for Vibration Monitoring

The Digital Twin for Vibration Monitoring project develops and implements an advanced predictive maintenance system for the continuous monitoring of rotating machinery on ships, adapting monitoring technologies to the demanding naval environment. The main objective is to demonstrate that condition-based maintenance can be reliably applied in scenarios characterized by constant structural vibrations, electromagnetic interference, confined metal spaces, and limited or intermittent connectivity.

The solution integrates triaxial wireless sensors, low-power, long-range communications, and a specialized analytics platform, creating a complete ecosystem for capturing, transmitting, and analyzing vibration data. The system is designed with a non-intrusive approach, allowing for the installation of sensors without cabling or structural modifications, reducing implementation costs and minimizing the impact on ship operations.

One of the main challenges addressed is the accurate differentiation between exogenous vibrations, resulting from ship movement, sea state, or structural resonances, and the vibrations inherent to each piece of equipment. To achieve this, the digital twin incorporates advanced filtering and spectral analysis algorithms that isolate the actual vibration signature of the machinery and ensure reliable diagnoses even under varying operating conditions.

The system transforms the collected data into actionable information, generating status indicators, severity rankings, and intervention prioritization lists, thus facilitating decision-making by maintenance teams. Overall, the project demonstrates the technical and operational feasibility of wireless vibration monitoring in naval environments and lays the groundwork for its integration into broader ship digital twin architectures and advanced predictive maintenance models in the naval sector.