Petr Zmij

Benchmarking one-class and binary classifiers for weld defect detection using acoustic emission signals

The aim of this study is to apply diagnostic techniques to welds based on machine learning methods. This approach works exclusively with signal data, making it nondestructive and enabling easier and faster implementation. It detects anomalies immediately after the welding procedu...