The constantly growing data resources are a challenge for manufacturing companies in every industry. This is due, inter alia, to a significant increase in the number of devices that generate data. Currently, the concept of Indus-try 4.0 and related technologies facilitate the collection, processing, and use of large amounts of data. For this purpose, the possibility use of the data mining method (wavelet analysis and logistic regression) to develop the model for supporting the decision-making process in determining the service life of the cutting tool was discussed in this article. The developed model will support to identify the parameters influencing the condition of the cutter. The predictive ability of the obtained model was assessed with the use of indicators to assess the quality of the classification.


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    Titel :

    Machine Multi-sensor System and Signal Processing for Determining Cutting Tools Service Life


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Machado, José (Herausgeber:in) / Soares, Filomena (Herausgeber:in) / Trojanowska, Justyna (Herausgeber:in) / Yildirim, Sahin (Herausgeber:in) / Vojtěšek, Jiří (Herausgeber:in) / Rea, Pierluigi (Herausgeber:in) / Gramescu, Bogdan (Herausgeber:in) / Hrybiuk, Olena O. (Herausgeber:in) / Kozłowski, Edward (Autor:in) / Antosz, Katarzyna (Autor:in)

    Kongress:

    International Conference Innovation in Engineering ; 2022 ; Minho, Portugal June 28, 2022 - June 30, 2022



    Erscheinungsdatum :

    2022-06-21


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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