Zobrazeno 1 - 3
of 3
pro vyhledávání: '"diagnosticiranje napak"'
Publikováno v:
Strojniški vestnik, vol. 67, no. 10, pp. 489-500, 2021.
As a key component of a mechanical drive system, the failure of the reducer will usually cause huge economic losses and even lead to serious casualties in extreme cases. To solve this problem, a two-dimensional convolutional neural network (2D-CNN) i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dd49a281904e370987d6091668397d6
https://doi.org/10.5545/sv-jme.2021.7284
https://doi.org/10.5545/sv-jme.2021.7284
Publikováno v:
Strojniški vestnik, vol. 68, no. 1, pp. 56-65, 2022.
In recent days, supervision task of industrial systems is vital and the prediction of damages avoids many problems. If any system' defects are not detected in early stage, this system will continue in degradation and may be causing serious economic l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f49bdc1501eea8e0598b4007d8d840e
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=134721
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=134721
Publikováno v:
52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, June 12-14, 2019, Procedia CIRP, vol. 81, pp. f809-814, 2019.
In manufacturing processes the automated identification of faulty operating conditions that might lead to insufficient product quality and reduced availability of the equipment is an important and challenging task. This paper proposes a data mining a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3505::859304710a57624fd2363aa032dce0db
https://hdl.handle.net/20.500.12556/RUL-108454
https://hdl.handle.net/20.500.12556/RUL-108454