Software Open Access

mcanyesilli/WPT_EEMD_ML_Machining v1.3

Melih C. Yesilli; Firas A. Khasawneh


Citation Style Language JSON Export

{
  "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&nbsp;<a href=\"https://doi.org/10.1016/j.cirpj.2019.11.003\">this paper</a>&nbsp;The experimental data in both raw and processed format can be found in&nbsp;<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"
}
97
3
views
downloads
All versions This version
Views 9776
Downloads 33
Data volume 28.7 MB28.7 MB
Unique views 7662
Unique downloads 33

Share

Cite as