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 …

Towards a reliable and lightweight onboard fault detection in autonomous unmanned aerial vehicles

SS Katta, EK Viegas - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
This paper proposes a new model for onboard physical fault detection on autonomous
unmanned aerial vehicles (UAV) through machine learning (ML) techniques. The proposal …

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 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 …

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 …

Fault diagnosis of actuator damage in UAVs using embedded recorded data and stacked machine learning models

LA Al-Haddad, AA Jaber, SA Al-Haddad… - The Journal of …, 2024 - Springer
Unmanned aerial vehicles (UAVs) have gained significant importance due to their wide
applicability in modern life. Fault diagnosis plays a crucial role in ensuring their safe and …

Fault diagnosis of drone motors driven by current signal data with few samples

G Chen, S Li, Q He, P Zhou, Q Zhang… - Measurement …, 2024 - iopscience.iop.org
Multi rotor unmanned aerial vehicles (UAVs) are extensively utilized across various
domains, and the motor constitutes a pivotal element in the UAV power system. The majority …

[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 …

Comprehensive fault diagnosis in UAV-assisted sensor networks: A three-phase automated approach

S Swain, PM Khilar, BR Senapati, RR Swain - Computer Communications, 2024 - Elsevier
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 …

A Novel Fault Detection Approach in UAV With Adaptation of Fuzzy Logic and Sensor Fusion

MHM Ghazali, W Rahiman - IEEE/ASME Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) or UAVs are increasingly applied by military and civilians
in a wide range of applications, such as environmental monitoring, search and rescue, target …