A zero-shot fault detection method for UAV sensors based on a novel CVAE-GAN model

C Li, K Luo, L Yang, S Li, H Wang… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have demonstrated remarkable versatility across a
spectrum of missions, and their autonomous flight and real-time control heavily rely on …

[HTML][HTML] Thermal heat flux distribution prediction in an electrical vehicle battery cell using finite element analysis and neural network

LA Al-Haddad, L Ibraheem, AI EL-Seesy… - Green Energy and …, 2024 - Elsevier
In terms of battery design and evaluation, Electric Vehicles (EVs) are receiving a great deal
of attention as a modern, eco-friendly, sustainable transportation method. In this paper, a …

Vibration-current data fusion and gradient boosting classifier for enhanced stator fault diagnosis in three-phase permanent magnet synchronous motors

LA Al-Haddad, AA Jaber, MN Hamzah, MA Fayad - Electrical Engineering, 2024 - Springer
Permanent magnet synchronous motors (PMSMs) are widely recognized for their precise
control capabilities, making them indispensable in numerous industrial applications. Yet …

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 …

Improved UAV blade unbalance prediction based on machine learning and ReliefF supreme feature ranking method

LA Al-Haddad, AA Jaber - Journal of the Brazilian Society of Mechanical …, 2023 - Springer
As unmanned aerial vehicles (UAVs) are witnessing a rapid increase in usage in regard to
many different applications, it has become paramount to classify blade faults and …

Application of AdaBoost for stator fault diagnosis in three-phase permanent magnet synchronous motors based on vibration–current data fusion analysis

LA Al-Haddad, SS Shijer, AA Jaber, ST Al-Ani… - Electrical …, 2024 - Springer
Permanent magnet synchronous motors (PMSMs) are of wide utilization in various industrial
applications for their precise control capabilities. Hereby, these PMSMs are consistently …

Enhancing building sustainability through aerodynamic shading devices: an integrated design methodology using finite element analysis and optimized neural …

LA Al-Haddad, YM Al-Muslim, AS Hammood… - Asian Journal of Civil …, 2024 - Springer
In the quest for sustainable building solutions, attention has increasingly turned to innovative
structural designs and technologies that minimize environmental impact. Within this context …

Self-powered system for real-time wireless monitoring and early warning of UAV motor vibration based on triboelectric nanogenerator

K Wang, Y Yao, Y Liu, X Guan, Y Yu, J Wang, Y Wang… - Nano Energy, 2024 - Elsevier
Unmanned aerial vehicle (UAV) is widely used in various industries due to their high
flexibility and large maneuverable space. Abnormal vibration of UAV motors can prevent it …

Vibration signal processing for multirotor UAVs fault diagnosis: Filtering or multiresolution analysis

LA Al-Haddad, W Giernacki… - Eksploatacja i …, 2024 - yadda.icm.edu.pl
The widespread use of UAVs has revolutionized a variety of industries and altered the way
we approach crucial tasks over the past decade. Commonly known as drones, these …

UAV propeller fault diagnosis using deep learning of non-traditional χ2-selected Taguchi method-tested Lempel–Ziv complexity and Teager–Kaiser energy features

LA Al-Haddad, W Giernacki, A Basem, ZH Khan… - Scientific Reports, 2024 - nature.com
Fault detection and isolation in unmanned aerial vehicle (UAV) propellers are critical for
operational safety and efficiency. Most existing fault diagnosis techniques rely basically on …