Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jakub Vágner"'
Publikováno v:
Perner’s Contacts, Vol 15, Iss 2 (2020)
This paper deals with the problematics of tensile testing of maraging steel lightweight cylindrical samples with internal structures, intended for automotive application. The samples were made with DMLS technology and tensile tested under the static
Externí odkaz:
https://doaj.org/article/46f2dc1fd46c4e85a53f39cd06269d82
Autor:
Onur Kilinc, Jakub Vágner
Publikováno v:
Perner’s Contacts, Vol 12, Iss 4 (2017)
This paper examines three different methods in comparison for discovering abnormal sensor data retrieved by acoustic and mono-axial accelerometer sensors that are employed in the environment of different train sets and passes to achieve a cost friend
Externí odkaz:
https://doaj.org/article/fafe882fcde7410881f04565f6385c17
Autor:
Onur KILINC, Jakub Vágner
Publikováno v:
SSRN Electronic Journal.
This paper presents a suitable framework that can diagnose wheelset related faults on metro trains using acoustic and vibration based techniques on the wayside. Proposed condition monitoring system includes four main stages; data acquisition, signal
This paper deals with the problematics of tensile testing of maraging steel lightweight cylindrical samples with internal structures, intended for automotive application. The samples were made with DMLS technology and tensile tested under the static
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db8d58d3d80541521e5d667d136f707d
https://hdl.handle.net/10195/77343
https://hdl.handle.net/10195/77343
Autor:
Onur Kilinc, Jakub Vágner
Publikováno v:
Vibroengineering PROCEDIA. 11:13-18
This research examines two different methods; Wavelet Packet Energy (WPE) and Time-domain Features (TDF) which are effective in faulty signal feature extraction of metro wheels in wayside level using vibration sensors. Signals of each wheelset passin