This paper proposes a federated learning-based framework for fault detection in an
unmanned aerial vehicle (UAV)-reliable sensor network. The proposed approach is …

Ensuring operational safety in an automated working environment is a crucial requirement.
In this article, we propose a technique for automated fault diagnosis in unmanned aerial …

Real-time fault diagnosis in Unmanned Aerial Vehicles (UAVs) is a challenging task. Data-
driven intelligent diagnosis of faults ensures flight safety for UAVs. In this paper, realtime …

Model-based sensor fault detection, isolation and accommodation (SFDIA) is a direction of
development in particular with small UAVs where sensor redundancy may not be an option …

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 …

The growing use of Unmanned Aerial Vehicles (UAVs) implies high reliability and safety
requirements, particularly for safety-and mission-critical applications. To ensure flawless …

Modern applications of Unmanned Aerial Vehicles are increasingly attracting the attention of
traditional safety and reliability fields. There exist many standard approaches for determining …

In this paper, a new algorithm for detecting and identifying faults in a UAV system is
proposed, this algorithm uses Color Images obtained from Time-Frequency-Amplitude …

Unmanned Aerial Vehicles are expected to create enormous benefits to society, but there
are safety concerns in recognizing faults at the vehicle's control component. Prior studies …

Rapid faults diagnosis and isolation in flight control systems is vital to evade undesirable
effects on the environment, humans as well as on the system itself. In this research, a new …