A survey on fault diagnosis methods for UAVs

GK Fourlas, GC Karras - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
The continuous evolution of modern technology has led to the creation of increasingly
complex and advanced systems. The growing demands for more reliable performance on …

UAV fault detection methods, state-of-the-art

R Puchalski, W Giernacki - Drones, 2022 - mdpi.com
The continual expansion of the range of applications for unmanned aerial vehicles (UAVs) is
resulting in the development of more and more sophisticated systems. The greater the …

Alfa: A dataset for uav fault and anomaly detection

A Keipour, M Mousaei… - The International Journal …, 2021 - journals.sagepub.com
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) …

A survey on fault diagnosis and fault-tolerant control methods for unmanned aerial vehicles

GK Fourlas, GC Karras - Machines, 2021 - mdpi.com
The continuous evolution of modern technology has led to the creation of increasingly
complex and advanced systems. This has been also reflected in the technology of …

[PDF][PDF] Applications of Machine Learning Techniques for Fault Diagnosis of UAVs.

LA Al-Haddad, AA Jaber - SYSTEM, 2022 - ceur-ws.org
Due to the heavy usage of Unmanned Aerial Vehicles (UAVs) and the co-evolution of
modern technologies, a crucial introduction to fault diagnosis has taken place in recent …

Fault detection & diagnosis for small UAVs via machine learning

E Baskaya, M Bronz, D Delahaye - 2017 IEEE/AIAA 36th Digital …, 2017 - ieeexplore.ieee.org
The new era of small UAVs necessitates intelligent approaches towards the issue of fault
diagnosis to ensure a safe flight. A recent attempt to accommodate quite a number of UAVs …

Real-time fault detection on small fixed-wing UAVs using machine learning

M Bronz, E Baskaya, D Delahaye… - 2020 AIAA/IEEE 39th …, 2020 - ieeexplore.ieee.org
In this study, we have highlighted the main challenges of real-time fault diagnosis on small
scale fixed-wing UAVs. The feasibility of real-time fault prediction has been shown in real …

Unsupervised fault detection on unmanned aerial vehicles: Encoding and thresholding approach

KH Park, E Park, HK Kim - Sensors, 2021 - mdpi.com
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 …

A novel online data-driven algorithm for detecting UAV navigation sensor faults

R Sun, Q Cheng, G Wang, WY Ochieng - Sensors, 2017 - mdpi.com
The use of Unmanned Aerial Vehicles (UAVs) has increased significantly in recent years. On-
board integrated navigation sensors are a key component of UAVs' flight control systems …

Data-driven fault detection of un-manned aerial vehicles using supervised learning over cloud networks

P Yousefi, H Fekriazgomi, MA Demir… - 2018 World …, 2018 - ieeexplore.ieee.org
Modern applications of Unmanned Aerial Vehicles are increasingly attracting the attention of
traditional safety and reliability fields. There exist many standard approaches for determining …