Konu "Fault detection" için Mühendislik Fakültesi listeleme
Toplam kayıt 2, listelenen: 1-2
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A method to classify steel plate faults based on ensemble learning
(2022)With the industrial revolution 4.0, machine learning methods are widely used in all aspects of manufacturing to perform quality prediction, fault diagnosis, or maintenance. In the steel industry, it is important to ... -
Vibration data-driven anomaly detection in UAVs: A deep learning approach
(Elsevier, 2024)Unmanned Aerial Vehicles (UAVs) are employed for diverse applications, including aerial surveillance and package delivery. However, the occurrence of faults, especially propeller failures, poses significant risks to safe ...