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 …

Vehicle dynamic state estimation: State of the art schemes and perspectives

H Guo, D Cao, H Chen, C Lv, H Wang… - IEEE/CAA Journal of …, 2018 - ieeexplore.ieee.org
Next-generation vehicle control and future autonomous driving require further advances in
vehicle dynamic state estimation. This article provides a concise review, along with the …

Performance monitoring for vehicle suspension system via fuzzy positivistic C-means clustering based on accelerometer measurements

S Yin, Z Huang - IEEE/ASME Transactions On Mechatronics, 2014 - ieeexplore.ieee.org
This paper focuses on fault detection and isolation for vehicle suspension systems. The
proposed method is divided into three steps: 1) confirming the number of clusters based on …

Fixed-time observer based safety control for a quadrotor UAV

S Zhou, K Guo, X Yu, L Guo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents a fixed-time observer-based safety control strategy for quadrotor
unmanned aerial vehicles (UAVs) against multiple actuator faults and unknown …

Multivariate regression-based fault detection and recovery of UAV flight data

B Wang, D Liu, Y Peng, X Peng - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the wide applications of the unmanned aerial vehicle (UAV), operating safety becomes
a critical issue. Thus, fault detection (FD) has been focused, which can realize fault alarm …

A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles

C Li, S Li, A Zhang, L Yang, E Zio… - Journal of …, 2022 - academic.oup.com
As fixed-wing unmanned aerial vehicles (FW-UAVs) are used for diverse civil and scientific
missions, failure incidents are on the rise. Recent rapid developments in deep learning (DL) …

Unmanned aerial vehicle flight data anomaly detection and recovery prediction based on spatio-temporal correlation

J Zhong, Y Zhang, J Wang, C Luo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of unmanned aerial vehicle (UAV) technology, a UAV is gradually
applied to a variety of civil fields, such as photography, power line inspection, and …

A survey of unmanned aerial vehicle flight data anomaly detection: Technologies, applications, and future directions

L Yang, SB Li, CJ Li, AS Zhang, XD Zhang - Science China Technological …, 2023 - Springer
Flight data anomaly detection plays an imperative role in the safety and maintenance of
unmanned aerial vehicles (UAVs). It has attracted extensive attention from researchers …

Nonlinear high-gain observer-based diagnosis and compensation for actuator and sensor faults in a quadrotor unmanned aerial vehicle

HJ Ma, Y Liu, T Li, GH Yang - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
This paper studies the diagnosis and compensation for sensor and actuator faults in a
quadrotor unmanned aerial vehicle. Without adding sensors or actuators for increased …

Data-driven fault diagnosis of FW-UAVs with consideration of multiple operation conditions

S Liang, S Zhang, Y Huang, X Zheng, J Cheng, S Wu - ISA transactions, 2022 - Elsevier
Abstract Fixed-wing Unmanned Aerial Vehicles (FW-UAVs) are intelligent aircrafts. It is of
significance to carry out fault diagnosis of FW-UAVs to improve reliability and safety. An …