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Method of Machining Centre Sliding System Fault Detection using Torque Signals and Autoencoder Cover

Method of Machining Centre Sliding System Fault Detection using Torque Signals and Autoencoder

Acta Mechanica et Automatica
Volume 17 (2023): Issue 3 (September 2023)
By: Damian Augustyn and  Marek Fidali  
Open Access
|Jul 2023

Authors

Damian Augustyn

damian.augustyn@polsl.pl

Department of Fundamentals of Machinery Design, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland

Marek Fidali

marek.fidali@polsl.pl

Department of Fundamentals of Machinery Design, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland
DOI: https://doi.org/10.2478/ama-2023-0051 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
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Language: English
Page range: 445 - 451
Submitted on: Dec 31, 2022
Accepted on: Apr 8, 2023
Published on: Jul 15, 2023
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
condition monitoring,
torque signal,
machining centre,
anomaly detection,
autoencoder
Related subjects:
Engineering,
Electrical engineering,
Electronics,
Mechanical engineering,
Mechanics,
Bioengineering and biomedical engineering,
Biomechanics,
Civil engineering,
Environmental engineering

© 2023 Damian Augustyn, Marek Fidali, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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