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mcanyesilli/WPT_EEMD_ML_Machining v1.3
Melih C. Yesilli;
Firas A. Khasawneh
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{
"publisher": "Zenodo",
"DOI": "10.5281/zenodo.3706729",
"title": "mcanyesilli/WPT_EEMD_ML_Machining v1.3",
"issued": {
"date-parts": [
[
2020,
3,
11
]
]
},
"abstract": "<p>This repository includes the documentation for the Python codes that extract features by using Wavelet Packet Transform (WPT) and Ensemble Empirical Mode Decomposition (EEMD) and diagnose chatter in turning process for different cutting configurations. Algorithms are based on the methods explained in <a href=\"https://doi.org/10.1016/j.cirpj.2019.11.003\">this paper</a> The experimental data in both raw and processed format can be found in <a href=\"http://dx.doi.org/10.17632/hvm4wh3jzx.1\">Mendeley repository</a>.</p>",
"author": [
{
"family": "Melih C. Yesilli"
},
{
"family": "Firas A. Khasawneh"
}
],
"version": "v1.3",
"type": "article",
"id": "3706729"
}
194
10
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 194 | 141 |
| Downloads | 10 | 7 |
| Data volume | 67.0 MB | 66.9 MB |
| Unique views | 163 | 122 |
| Unique downloads | 8 | 7 |
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- Publication date:
- March 11, 2020
- DOI:
-
- Keyword(s):
- machine learning, transfer learning, chatter detection, wavelet packet transform, empirical mode decomposition
- Related identifiers:
- Supplement to
- License (for files):
- Other (Open)