Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Markus, Kley"'
Publikováno v:
In Procedia Computer Science 2022 207:634-643
Publikováno v:
Applied Computer Science, Vol 17, Iss 4, Pp 5-19 (2021)
The increasing electrification of powertrains leads to increased demands for the test technology to ensure the required functions. For conventional test rigs in particular, it is necessary to have knowledge of the test technology's capabilities that
Externí odkaz:
https://doaj.org/article/edec2afdb06e4b2db7382db92f710e6b
Publikováno v:
In Procedia Computer Science 2021 192:417-426
Autor:
Manuel Bauer, Maximilian Schlotz, Kai Blessing, Fabian Wagner, Markus Hofele, Harald Riegel, Markus Kley
Publikováno v:
tm - Technisches Messen. 89:810-821
In the context of the fourth industrial revolution, condition monitoring and predictive maintenance of machines are becoming increasingly important, as unplanned machine failures can lead to high costs for the operator. Many of these machine failures
Publikováno v:
tm - Technisches Messen. 89:779-795
Over the years, it has been proven that all machines that run continuously or even for a short period of time experiences breakdowns, reduced efficiency and damage to the parts. Considering one such manufacturing process is welding process where stri
Publikováno v:
tm - Technisches Messen.
Condition monitoring of machines and powertrain components is an essential part of ensuring reliability and product safety in many industries. The monitored machines and components are often divided into different condition classes as well as classif
Publikováno v:
Chemie Ingenieur Technik. 94:1096-1104
Publikováno v:
tm - Technisches Messen. 89:352-362
We propose a model to classify axial, radial loading profiles and rotation speed of wire-race bearings using Convolutional Neural Networks with spectrograms. Software-based models are able to measure quantities of machine elements. In many cases a ph
Publikováno v:
Procedia Computer Science. 207:1124-1133
Rolling bearing technology is used in many areas of mechanical engineering. In order to be able to use and optimize the rolling bearing technology in a meaningful way, a particularly good knowledge of the movement processes in the bearings is require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19111b3b97f7001e0f4cdefe93858d52
https://doi.org/10.21203/rs.3.rs-1246953/v1
https://doi.org/10.21203/rs.3.rs-1246953/v1