In this paper, we propose a one-dimensional convolutional neural network model based on
the adaptive batch normalization (AdaBN) algorithm to improve the CNN model, which is …

Purpose This paper aims to design an adaptive nonlinear strategy capable of timely
detection and reconstruction of faults in the attitude's sensors of an autonomous aerial …

This work aims to improve the reliability and safety of unmanned aerial vehicles (UAVs)
during emergency operations, contributing to more efficient post-disaster and first aid …

A resilient and guaranteed Unmanned Aerial Vehicles (UAVs) security framework should be
designed to be secure against different types of attacks and faults. Recent developments …

In the fault diagnosis of UAVs, extremely imbalanced data distribution and vast differences in
effects of fault modes can drastically affect the application effect of a data-driven fault …

This paper aims to build a Self-supervised Fault Detection Model for UAVs combined with an
Auto-Encoder. With the development of data science, it is imperative to detect UAV faults …

In Unmanned Aerial Vehicle (UAV) systems, packet loss during sensor data transmission
causes data missing, which reduces fault features in sensor signals and causes the …

Redundant system with three two-degree-of-freedom (2-DOF) inertial sensors is one of the
possible candidates for the UAV inertial sensor redundancy management system. In the …

In this paper we present our advanced algorithms and design tools for autonomous fault-
tolerant control of Unmanned Aerial Vehicles (UAV). A multi-layer autonomous intelligent …

Fixed‐wing unmanned aerial vehicles (FW‐UAVs) play an essential role in many fields, but
the faults of FW‐UAV components lead to severe accidents frequently; so, there is a need to …