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A zero-shot fault detection method for UAV sensors based on a novel CVAE-GAN model
Unmanned aerial vehicles (UAVs) have demonstrated remarkable versatility across a
spectrum of missions, and their autonomous flight and real-time control heavily rely on …
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
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 …
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
Permanent magnet synchronous motors (PMSMs) are widely recognized for their precise
control capabilities, making them indispensable in numerous industrial applications. Yet …
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
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 …
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
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 …
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
Permanent magnet synchronous motors (PMSMs) are of wide utilization in various industrial
applications for their precise control capabilities. Hereby, these PMSMs are consistently …
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 …
In the quest for sustainable building solutions, attention has increasingly turned to innovative
structural designs and technologies that minimize environmental impact. Within this context …
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 …
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 …
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
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 …
operational safety and efficiency. Most existing fault diagnosis techniques rely basically on …