Science Department, Università degli Studi "Roma Tre", Via della Vasca Navale n. 84, 00146 Rome, Italy.
Department of Information Engineering, University of Florence, Via S. Marta n. 3, 50139 Florence, Italy.
Sensors (Basel). 2018 Sep 19;18(9):3171. doi: 10.3390/s18093171.
This paper focuses on the development of a new logistic approach based on reliability and maintenance assessment, with the final aim of establishing a more efficient interval for the maintenance activities for Unmanned Aerial Vehicles (UAV). In the first part, we develop an architectural philosophy to obtain a more detailed reliability evaluation; then, we study the intrinsic reliability at the design stage in order to avoid severe critical issues in the UAV. In the second part, we compare different maintenance philosophies for UAVs and develop the concepts of preventive and corrective maintenance that consider the system subjected (until real "hard failure") to partial performance degradation ("soft failure"). Finally, by evaluation of the uncertainty through the confidence interval, we determine the new soft failure limits, taking into account the general knowledge of the systems and subsystems in order to guarantee the proper preventive maintenance interval.
本文专注于开发一种新的基于可靠性和维护评估的物流方法，最终目的是为无人机 (UAV) 的维护活动建立更有效的间隔。在第一部分中，我们开发了一种架构理念来获得更详细的可靠性评估；然后，我们在设计阶段研究内在可靠性，以避免在无人机中出现严重的关键问题。在第二部分中，我们比较了无人机的不同维护理念，并开发了预防和纠正维护的概念，这些概念考虑了系统（直到实际的“硬故障”）受到部分性能下降（“软故障”）的影响。最后，通过置信区间评估不确定性，我们确定了新的软故障极限，考虑了系统和子系统的一般知识，以保证适当的预防性维护间隔。
