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Deep Learning Method for Fault Detection of Wind Turbine Converter [PDF]
Applied Sciences, 2021 The converter is an important component in wind turbine power drive-train systems, and usually, it has a higher failure rate. Therefore, detecting the potential faults for prediction of its failure has become indispensable for condition-based maintenance
Chengcheng Xiao +3 more
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Photovoltaic system fault detection techniques: a review
Neural computing & applications (Print), 2023 Solar energy has received great interest in recent years, for electric power generation. Furthermore, photovoltaic (PV) systems have been widely spread over the world because of the technological advances in this field.
G. Banby +4 more
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Arc fault detection using artificial intelligence: Challenges and benefits.
Mathematical biosciences and engineering : MBE, 2023 This systematic review aims to investigate recent developments in the area of arc fault detection. The rising demand for electricity and concomitant expansion of energy systems has resulted in a heightened risk of arc faults and the likelihood of related
Chunpeng Tian +3 more
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Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles
Machines, 2023 Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and reliability of electric vehicles (EVs). The EV’s power train and energy storage, namely the electric motor drive and battery system, are critical components that are ...
Mohammad Zamani Khaneghah +2 more
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Fault Detection for Point Machines: A Review, Challenges, and Perspectives
Actuators, 2023 Point machines are the actuators for railway switching and crossing systems that guide trains from one track to another. Hence, the safe and reliable behavior of point machines are pivotal for rail transportation.
Xiaoxi Hu, Tao Tang, Lei Tan, Heng Zhang
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Artificial Intelligence-Based Technique for Fault Detection and Diagnosis of EV Motors: A Review
IEEE Transactions on Transportation Electrification, 2022 The motor drive system plays a significant role in the safety of electric vehicles as a bridge for power transmission. Meanwhile, to enhance the efficiency and stability of the drive system, more and more studies based on AI technology are devoted to the
Wangjie Lang +5 more
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UAV Fault Detection Methods, State-of-the-Art
Drones, 2022 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 complexity of the UAV, the greater the likelihood that a component will fail.
Radosław Puchalski, Wojciech Giernacki
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Fault Detection on Seismic Structural Images Using a Nested Residual U-Net
IEEE Transactions on Geoscience and Remote Sensing, 2022 Automatic identification of faults on seismic structural images is a challenging yet crucial task in quantitative seismic interpretation. Human picking or attribute-based fault detection methods may misidentify faults on noisy, complex seismic images. We
K. Gao, Lianjie Huang, Yingcai Zheng
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Fault detection of networked dynamical systems: a survey of trends and techniques
International Journal of Systems Science, 2021 Fault detection of networked dynamical systems (NDSs) has attracted ever-increasing attention since it can maintain high-quality products as well as operational safety.
Yamei Ju +3 more
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Electronics, 2021 Fault detection/diagnosis has become a crucial function of the battery management system (BMS) due to the increasing application of lithium-ion batteries (LIBs) in highly sophisticated and high-power applications to ensure the safe and reliable operation
Akash Samanta +2 more
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