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

Sami Hajjaj

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

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 = "Sami Hajjaj",

year = "2024",

month = sep,

language = "English",

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

}