Keynote
Maintainability Analysis of UAV Systems: an Analytical
Unmanned Aerial Vehicles (UAVs) are widely used in military, surveillance, agricultural, and commercial applications, where reliable operation and timely maintenance are essential for mission success. The increasing complexity of UAV systems makes it necessary to adopt effective maintenance strategies that can reduce failures, improve system availability, and lower operational costs. This research presents an analytical approach for the maintainability analysis of UAV systems by integrating reliability, availability, and maintenance concepts into a unified framework. The study examines the effects of component degradation and failure in critical UAV subsystems such as batteries, motors, sensors, and communication units. A Continuous-Time Markov Chain (CTMC) model is used to represent different operating and maintenance states of the system, including normal operation, degraded operation, preventive maintenance, repair and failure conditions. In addition, condition-monitoring and health-assessment concepts are considered to support early fault detection and degradation tracking, enabling more effective maintenance planning. The proposed framework evaluates key performance measures such as reliability, maintainability, availability, mission readiness, and maintenance cost under different maintenance policies. By analyzing preventive and predictive maintenance strategies, the study identifies maintenance schedules that enhance system performance while minimizing downtime and operational expenses. The results demonstrate that combining analytical modeling with health-based maintenance approaches can significantly improve UAV operational efficiency, extend component life, and increase mission success. The proposed methodology provides a practical decision-support tool for UAV operators and maintenance planners seeking to improve the long-term performance and sustainability of UAV systems.