Ανίχνευση ανωμαλιών με μη επιτηρούμενη μάθηση σε ήχους λειτουργίας μηχανημάτων
Unsupervised anomaly detection in mechanical sounds
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Keywords
Anomaly detection ; Unsupervised ; Machine learning ; AI ; Sound detection ; Machine condition monitoringAbstract
Production machines often have parts like valves, pumps, fans and sliders. When there is a
malfunction the sound produced is different from the normal operation. Current thesis examines
anomaly detection using sounds from production machines using unsupervised machine learning
algorithms.