[HTML][HTML] 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 …
complex and advanced systems. This has been also reflected in the technology of …
[HTML][HTML] 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 …
resulting in the development of more and more sophisticated systems. The greater the …
Actuator fault detection and isolation on multi-rotor UAV using extreme learning neuro-fuzzy systems
Undetected partial actuator faults on multi-rotor UAVs can lead to system failures and
uncontrolled crashes, necessitating the development of accurate and efficient fault detection …
uncontrolled crashes, necessitating the development of accurate and efficient fault detection …
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 …
complex and advanced systems. The growing demands for more reliable performance on …
FW-UAV fault diagnosis based on knowledge complementary network under small sample
Y Zhang, S Li, A Zhang, X An - Mechanical Systems and Signal Processing, 2024 - Elsevier
Abstract Fixed Wing Unmanned Aerial Vehicles (FW-UAVs) are prone to faults when
performing a variety of tasks, which can lead to mission failure and even pose a safety risk …
performing a variety of tasks, which can lead to mission failure and even pose a safety risk …
A novel dual attention convolutional neural network based on multisensory frequency features for unmanned aerial vehicle rotor fault diagnosis
By virtue of their convenience, reasonable cost and high efficiency, Unmanned Aerial
Vehicles (UAVs) have been widely applied in every aspect of life. However, complicated …
Vehicles (UAVs) have been widely applied in every aspect of life. However, complicated …
Fault detection and classification for sensor faults of UAV by deep learning and time-frequency analysis
Sensor faults could occur in unmanned aerial vehicles (UAVs) during a mission of flight,
which might deteriorate UAV's performance or even cause catastrophe. Considering …
which might deteriorate UAV's performance or even cause catastrophe. Considering …
A deep learning method for fault detection of autonomous vehicles
J Ren, R Ren, M Green, X Huang - 2019 14th International …, 2019 - ieeexplore.ieee.org
Fault detection is a crucial step for the safe operation of autonomous vehicles. Failure to
detect faults can result in component failure leading to the breakdown of the car or even …
detect faults can result in component failure leading to the breakdown of the car or even …
Applying deep learning to autonomous vehicles: A survey
J Ren, H Gaber, SS Al Jabar - 2021 4th International …, 2021 - ieeexplore.ieee.org
Autonomous vehicles will revolutionize the future automotive industry by reducing or
eliminating human errors and increasing vehicle safety. The design of autonomous vehicles …
eliminating human errors and increasing vehicle safety. The design of autonomous vehicles …
Fusion fault diagnosis model for six-rotor UAVs based on conformal Fourier transform and improved self-organizing feature map
J Fu, G Che - IEEE Access, 2021 - ieeexplore.ieee.org
If the fault sources can be located in a timely and accurate manner when an unmanned
aerial vehicle (UAV) has an early minor fault, a major accident can be avoided. In light of the …
aerial vehicle (UAV) has an early minor fault, a major accident can be avoided. In light of the …