Sabit Kanatlı İnsansız Hava Aracı İçin İstatistiksel Özniteliklerle Arıza Teşhis Sistemi

– Thanks to technological developments, the human role has decreased in the aviation sector, where the risk factor is high, as in many sectors. For this reason, the demand and development efforts for unmanned aerial vehicles (UAVs) that minimize the human factor have gained great importance and speed in our country as well as all over the world. The navigation of drones is controlled remotely in some applications, while mostly controlled by built-in autopilot controllers. These systems activate the control surfaces in line with the data they receive from the sensors on the aircraft. As with all electronic systems, a fault in these vehicles can have serious consequences. Faults in vehicles cause loss of effectiveness and even complete loss of the control surface on the control surfaces that allow the basic movements of the aircraft to be performed. Therefore, detecting faults in advance or instantly and controlling the system without problems has been a major research and development issue. In this study, the loss of effectiveness in actuators that may occur in fixed-wing unmanned aerial vehicles is focused on the diagnosis of faults. Numerical data from sensors on the vehicle were examined for various statistical attributes and a diagnostic was carried out.