The growing number of applications for unmanned aerial vehicles operating in close
proximity to humans calls for strict safety requirements. To ensure reliability and safety, fast …

Unmanned aerial vehicles are being used increasingly in a variety of applications. They are
more and more often operating in close proximity to people and equipment. This …

Drones are widely used in a number of key fields and are having a profound impact on all
walks of life. Working out how to improve drone safety through fault detection is key to …

This paper describes the development of an on-board data-driven system that can monitor
and localize the fault in a quadrotor unmanned aerial vehicle (UAV) and at the same time …

The article presents a drone sensory database collected during flights with different types of
propeller failures. Measurements from four accelerometers and four gyroscopes were …

This article presents a Fault Detection (FD) method to deal with propeller faults on multirotor
drones in real-time. Several solutions have been proposed in the literature, however, they …

This article presents a new actuator fault detection and isolation method for multi rotor
unmanned aerials (UAVs). The UAV community raises the need to develop a highly efficient …

We present a dataset of several fault types in control surfaces of a fixed-wing unmanned
aerial vehicle (UAV) for use in fault detection and isolation (FDI) and anomaly detection (AD) …

In this paper, a fault detection and isolation (FDI) system for propeller impairments of the
multirotor UAV is presented. The algorithm is based on the processing of signal vectors from …

In this paper, a method for fault detection of physical impairment of UAV rotor blades is
presented. Actuators in multirotor UAV (Unmanned Aerial Vehicle) systems are common …