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Reliability and Maintenance Analysis of Unmanned Aerial Vehicles.

Enrico Petritoli1, Fabio Leccese2, Lorenzo Ciani3

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Summary

This study introduces a new logistic approach for Unmanned Aerial Vehicles (UAV) maintenance. It enhances reliability assessment and defines optimal preventive maintenance intervals by considering soft failures.

Keywords:
RAMSUAVaerialconfidence intervalcorrectivehard failuremaintainabilitymaintenancepreventivereliabilitysoft failureuncertaintyunmannedvehicle

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Area of Science:

  • Reliability Engineering
  • Aerospace Logistics
  • Maintenance Management

Background:

  • Unmanned Aerial Vehicles (UAVs) require efficient maintenance strategies.
  • Current maintenance approaches may not adequately address performance degradation before hard failures.
  • Optimizing maintenance intervals is crucial for operational efficiency and safety.

Purpose of the Study:

  • To develop a novel logistic approach for UAV maintenance planning.
  • To enhance reliability assessment through detailed architectural evaluation.
  • To establish optimized preventive maintenance intervals by incorporating soft failure analysis.

Main Methods:

  • Development of an architectural philosophy for detailed reliability evaluation.
  • Comparative analysis of different UAV maintenance philosophies.
  • Integration of preventive and corrective maintenance concepts, including soft failure.
  • Uncertainty evaluation using confidence intervals to define soft failure limits.

Main Results:

  • A refined reliability evaluation methodology for UAVs.
  • A framework for understanding and managing partial performance degradation (soft failures).
  • Determination of new soft failure limits to inform maintenance scheduling.
  • Establishment of a more efficient preventive maintenance interval.

Conclusions:

  • The proposed logistic approach improves UAV maintenance efficiency.
  • Considering soft failures enhances the predictive capability of maintenance planning.
  • Optimized maintenance intervals, informed by reliability and uncertainty, are key for UAV operational integrity.