Yazar "Özkat, Erkan Caner" için listeleme
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A data-driven predictive maintenance model to estimate RUL in a multi-rotor UAS
Özkat, Erkan Caner; Bektaş, Oğuz; Nielsen, Michael Juul; la Cour-Harbo, Anders (Sage Publications, 2023)Unmanned Aircraft Systems (UAS) has become widespread over the last decade in various commercial or personal applications such as entertainment, transportation, search and rescue. However, this emerging growth has led to ... -
Extended 2-D magnetic field modeling of linear motor to investigate the magnetic force parameters of high-speed superconducting maglev
Öztürk, Ufuk Kemal; Abdioğlu, Murat; Özkat, Erkan Caner; Mollahasanoğlu, Hakkı (IEEE, 2023)A 2-D numerical finite-element model of a linear synchronous motor (LSM) is extended based on the magnetic field and moving mesh properties to investigate the magnetic flux and magnetic force characteristics of the high-speed ... -
Machine learning driven optimization and parameter selection of multi-surface HTS Maglev
Özkat, Erkan Caner; Abdioğlu, Murat; Öztürk, U. Kemal (Elsevier, 2024)This research aims to tackle the challenges posed by precise force measurement for high temperature superconducting (HTS) Maglev systems, including mechanical constraints, step motor limitations, and sensor resolutions. ... -
Machine learning models to estimate the elastic modulus of weathered magmatic rocks
Ceryan, Nurcihan; Özkat, Erkan Caner; Korkmaz Can, Nuriye; Ceryan, Şener (Springer, 2021)In recent years, several soft computing models have been proposed to estimate the elastic modulus of magmatic rocks. However, there are lacks in models that consider the different weathering degrees in determining the ... -
A method to classify steel plate faults based on ensemble learning
Özkat, Erkan Caner (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 ... -
Positional health assessment of collaborative robots based on long short-term memory auto-encoder (LSTMAE) network
Hasan, Naimul; Webb, Louie; Chinanthai, Malarvizhi Kaniappan; Hossain, Mohammad Al-Amin; Özkat, Erkan Caner; Tokhi, Mohammad Osman; Alkan, Buğra (Springer, 2024)Calibration is a vital part of ensuring the safety and smooth operation of any industrial robot and this is particularly essential for collaborative robots as any issue pertaining to safety can adversely impact the human ... -
Vibration data-driven anomaly detection in UAVs: A deep learning approach
Özkat, Erkan Caner (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 ...
