Anomaly Detection in Bearing Temperature Data of Industrial Centrifuge Device Using One-Class SVM for Predictive Maintenance in the Mining Sector

Doaa Ahmad Alqaraleh; Sami Hajjaj; Hassan Mohamed

Anomaly Detection in Bearing Temperature Data of Industrial Centrifuge Device Using One-Class SVM for Predictive Maintenance in the Mining Sector

Doaa Ahmad Alqaraleh
, Sami Hajjaj
, Hassan Mohamed

School of Robotics

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Original language	English
Title of host publication	The 2024 International Conference on Intelligent Manufacturing and Robotics (ICiMR 2024)
Publication status	Published - Sept 2024

Cite this

@inproceedings{64fe692c7cc747acac9f85d017dd8367,

title = "Anomaly Detection in Bearing Temperature Data of Industrial Centrifuge Device Using One-Class SVM for Predictive Maintenance in the Mining Sector",

author = "Alqaraleh, \{Doaa Ahmad\} and Sami Hajjaj and Hassan Mohamed",

year = "2024",

month = sep,

language = "English",

booktitle = "The 2024 International Conference on Intelligent Manufacturing and Robotics (ICiMR 2024)",

}

Anomaly Detection in Bearing Temperature Data of Industrial Centrifuge Device Using One-Class SVM for Predictive Maintenance in the Mining Sector. / Alqaraleh, Doaa Ahmad; Hajjaj, Sami; Mohamed, Hassan.
The 2024 International Conference on Intelligent Manufacturing and Robotics (ICiMR 2024) . 2024.

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Anomaly Detection in Bearing Temperature Data of Industrial Centrifuge Device Using One-Class SVM for Predictive Maintenance in the Mining Sector

AU - Alqaraleh, Doaa Ahmad

AU - Hajjaj, Sami

AU - Mohamed, Hassan

PY - 2024/9

Y1 - 2024/9

M3 - Conference Proceeding

BT - The 2024 International Conference on Intelligent Manufacturing and Robotics (ICiMR 2024)

ER -