A sound based method for fault detection with statistical feature extraction in UAV motors

A Altinors, F Yol, O Yaman - Applied Acoustics, 2021 - Elsevier
The motors of the Unmanned Aerial Vehicle are critical parts, especially when used in
applications such as military and defense systems. The fact that the brushless DC (BLDC) …

A fault detection method based on embedded feature extraction and SVM classification for UAV motors

O Yaman, F Yol, A Altinors - Microprocessors and Microsystems, 2022 - Elsevier
In this study, a lightweight method has been proposed for the early detection of faults in UAV
motors. To test our method, balance, magnet, propeller, and bearing failure have been …

Failure detection in quadcopter UAVs using K-means clustering

J Cabahug, H Eslamiat - Sensors, 2022 - mdpi.com
We propose an unmanned aerial vehicle (UAV) failure detection system as the first step of a
three-step autonomous emergency landing safety framework for UAVs. We showed the …

Chaos control and characterization of brushless DC motor via integral and differential fractal-fractional techniques

KA Abro, A Atangana… - International Journal of …, 2023 - Taylor & Francis
Although brushless DC motors have been preferably used in wide industrial applications on
the basis of superior properties and stable operation, the stability of brushless DC motors is …

Misfire detection of an internal combustion engine based on vibration and acoustic analysis

JL Firmino, JM Neto, AG Oliveira, JC Silva… - Journal of the Brazilian …, 2021 - Springer
A Misfire event is an unwanted phenomenon that compromises the regular operation of the
engine, increasing the pollution of emission gases and decreasing its efficiency. Therefore …

Dynamic analysis of DFIG fault detection and its suppression using sliding mode control

D Jiang, W Yu, J Wang, G Zhong… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
In this article, a fault detection method based on chaos is proposed for doubly fed induction
generator (DFIG). First, the nonlinear differential equation of the DFIG is established by the …

Density of maxima approach for broken bar fault diagnosis in low slip and variable load conditions of induction motors

DBB de Deus, CAN Sobrinho, FA Belo… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The three-phase induction motor (TIM) is present in most industrial processes, being the
main responsible for the electromechanical conversion in the sector. The total breakdown of …

Sensorless speed tracking of a brushless DC motor using a neural network

OD Ramírez-Cárdenas, F Trujillo-Romero - Mathematical and …, 2020 - mdpi.com
In this work, the sensorless speed control of a brushless direct current motor utilizing a
neural network is presented. This control is done using a two-layer neural network that uses …

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 …

Estimating the loss of effectiveness of UAV actuators in the presence of aerodynamic effects

SP Madruga, TP Nascimento… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
This letter proposes an approach for estimating the loss of effectiveness of UAV actuators
while also considering the presence of aerodynamic effects, most specifically those …