On reliability of a tethered unmanned high-altitude platform using FC-out-of-N system and machine learning methods

The article considers the reliability of tethered unmanned high-altitude platforms. These platforms have great potential in the field of telecommunications. In remote and underdeveloped areas, they arc one of the main means of communication, providing information interaction with mobile networks and the Internet. Moreover, the platforms arc highly energy-efficient. since the long-term operation of these platforms is ensured by the electricity transportation from ground to board via a thin eablc-ropc. In this paper, the study of tethered high-altitude unmanned platforms is carried out using the so-called fc-out-of-n systems. To assess reliability characteristics of such systems for arbitrary distributions of the life and repair time of system’s elements new methods and algorithms have been developed. Moreover, to predict the reliability stationary characteristics of the fc-out-of-n system, which adequately describes the operation of a tethered unmanned platform, machine learning methods were used for the first time. The results obtained arc illustrated by numerical examples.