Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Juan Vargas-Machuca"'
Publikováno v:
Production Engineering. 16:465-480
Accurate prediction of machine tool wear is an essential part of modern and efficient manufacturing. In recent years, many studies have been carried out using machine learning algorithms, both traditional and deep learning; with the latter ones repor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96fc8029f085f0852637d7bab91c0fe3
https://doi.org/10.1007/s11740-021-01086-8
https://doi.org/10.1007/s11740-021-01086-8
Publikováno v:
Journal of Failure Analysis and Prevention. 20:744-754
Rotary machines are key equipment in many industrial sectors, from mining operations to advanced manufacturing. Among the critical components of these machines are bearings, gearboxes, rotors, among others. These components tend to present failures,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a2449cf0c9c14d84cd4a50ddf2d742a
https://doi.org/10.1007/s11668-020-00872-3
https://doi.org/10.1007/s11668-020-00872-3
Publikováno v:
2021 IEEE Sciences and Humanities International Research Conference (SHIRCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45dacc59da18e692be8ef08db1ded4a5
https://doi.org/10.1109/shircon53068.2021.9652266
https://doi.org/10.1109/shircon53068.2021.9652266
Publikováno v:
2021 IEEE XXVIII International Conference on Electronics, Electrical Engineering and Computing (INTERCON).
Prediction of machine tool wear is highly dependent on the quality of the measured data and the ability to extract information from such raw data. These data are presented in the form of time series, which cannot be used directly by conventional mach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b24c65d9836b9a8c207d0a4c27d2e386
https://doi.org/10.1109/intercon52678.2021.9532759
https://doi.org/10.1109/intercon52678.2021.9532759