Obtaining Condition Monitoring Data for the Prognostics of the Flight Time of Unmanned Aerial Vehicles

In recent years, the use of Unmanned Aerial Vehicles (UAVs) that can fly at low and medium altitudes has become widespread in the world. Knowing the airtime and the maximum range that the UAVs, which are used in critical missions, especially in the military field, are important for the reliability of the mission to be carried out. Therefore, in this study, the creation of a data set to calculate the flight time and range of the UAV using the prognostic method, which is one of the heuristic methods, is discussed. For this purpose, a fixed-wing UAV was used in this study to create the data set to be used in the prognostic method. The UAV used in flights has a weight of 2.5 kg, a wingspan of 1.3 m, and a body length of 1 m. In addition, thanks to the control card used in the UAV, both manual and autonomous flights were made. The flight data of the UAV was transferred to the Ground Control Station instantly. As a result, data sets were obtained from manual and autonomous flights to be used in the prognostic method. By using these data sets, it will be possible to calculate the duration and range of the UAV in the future flights.