Using photodiodes and supervised Machine Learning for automatic classification of weld defects in laser welding of thin foils copper-to-steel battery tabs

Chianese, Giovanni, Sun, Tianzhu, Franciosa, Pasquale, Ceglarek, Dariusz, Patalano, Stanislao

doi:10.5281/zenodo.6732794

Using photodiodes and supervised Machine Learning for automatic classification of weld defects in laser welding of thin foils copper-to-steel battery tabs

DOI DOI

Chianese, Giovanni

作成者
Sun, Tianzhu

作成者
Franciosa, Pasquale

作成者
Ceglarek, Dariusz

作成者
Patalano, Stanislao

作成者

メタデータ

公開日: 2022-06-27

DOI

10.5281/zenodo.6732793
10.5281/zenodo.6732794

公開者: Zenodo

データ作成者 (e-Rad)

Chianese, Giovanni
Sun, Tianzhu
Franciosa, Pasquale
Ceglarek, Dariusz
Patalano, Stanislao

説明

In this folder, excel files are stored with the results of signal processing that supported findings in the following paper: "Using photodiodes and supervised Machine Learning for automatic classification of weld defects in laser welding of thin foils copper-to-steell battery tabs". Matlab scripts and orginal signals will be uploaded soon with more detailed description.