Published June 27, 2022
| Version v1
Dataset
Open
Using photodiodes and supervised Machine Learning for automatic classification of weld defects in laser welding of thin foils copper-to-steel battery tabs
Creators
- 1. Department of Industrial Engineering, University of Naples Federico II
- 2. WMG, The University of Warwick
Description
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.
Files
Read me.txt
Files
(37.5 MB)
Name | Size | Download all |
---|---|---|
md5:ae9b2b3b2a91b70c5d43aec2869c725a
|
466 Bytes | Preview Download |
md5:542201d1996bbde1330a809c2e2e22e3
|
13.4 MB | Download |
md5:725fba467973957da7c296deb8694a7b
|
3.4 MB | Download |
md5:3a1e40d73b0cb6b3acba6cb15b1271eb
|
20.6 MB | Download |
md5:8e48790cc8c204a1740de2c3173b7cb1
|
30.9 kB | Download |