Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Kurt Pichler"'
Publikováno v:
International Journal of Prognostics and Health Management, Vol 10, Iss 2 (2019)
This paper presents a benchmark study in which three vibration based bearing diagnostic algorithms are compared. The three methods are a data driven approach developed by the Linz Center of Mechatronics (LCM), a physics based method of Flanders Make
Externí odkaz:
https://doaj.org/article/58e6d89968254403b6c89270c85b501f
Publikováno v:
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1067bacd3704e9616d0286b9ff64df93
https://doi.org/10.1109/iceccme55909.2022.9987975
https://doi.org/10.1109/iceccme55909.2022.9987975
Publikováno v:
Annual Conference of the PHM Society. 14
Linear actuators, implemented as closed hydraulic systems, without external piping, are a state of the art drive concept, see (Gannon, 2017). Collecting data, used to train a condition monitoring (CM) for such drives, running 24/7, is cumbersome or e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e2248843b3c6332a8d522f6f5d87743
https://doi.org/10.36001/phmconf.2022.v14i1.3174
https://doi.org/10.36001/phmconf.2022.v14i1.3174
Autor:
Kurt Pichler, Maria Anneliese Klaffenbock, Julia Mayer, Florian Hammer, Martin Scherhaufl, Christian Kastl
Publikováno v:
2022 IEEE 31st International Symposium on Industrial Electronics (ISIE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d93f6027e71e32239f2a5f626a4c7cc
https://doi.org/10.1109/isie51582.2022.9831635
https://doi.org/10.1109/isie51582.2022.9831635
Publikováno v:
Journal of Sensors and Sensor Systems, Vol 9, Pp 143-155 (2020)
This paper presents the extension of an empirical study in which a universally applicable fault diagnosis method is used to analyse vibration data of bearings measured with accelerometers. The motivation for extending the previously published results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::154337e39d08175bd34c15fcb65ccb1a
https://doi.org/10.5194/jsss-9-143-2020
https://doi.org/10.5194/jsss-9-143-2020
Publikováno v:
2022 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a45f59da24d10cd5d45eb72c6c7fe35
https://doi.org/10.1109/wisnet53095.2022.9721375
https://doi.org/10.1109/wisnet53095.2022.9721375
Publikováno v:
Annual Conference of the PHM Society. 13
In this paper, a novel approach for detecting degradation in internal gear pumps is proposed. In a data-driven approach, pressure reduction time maps (PRTMs) are identified as a useful indicator for degradation detection. A PRTM measures the time for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::304fdecf347f15f8be32a56466a0dbf8
https://doi.org/10.36001/phmconf.2021.v13i1.3014
https://doi.org/10.36001/phmconf.2021.v13i1.3014
Autor:
Maria Anneliese Klaffenbock, Kurt Pichler, Adnan Husakovic, Veronika Putz, Anna Mayrhofer, Yvonne Kappacher-Winter, Christian Kastl
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63823dd22d36ea261ea94cfef791da7f
https://doi.org/10.1109/ieeeconf53345.2021.9723235
https://doi.org/10.1109/ieeeconf53345.2021.9723235
Autor:
Bruno Volckaert, Steven Devos, S. Van Hoecke, Ted Ooijevaar, Clemens Hesch, Yuan Di, Kurt Pichler
Publikováno v:
IFAC-PapersOnLine. 52:376-381
A key barrier in the industrial adoption of condition monitoring is the lack of large and reliable data sets about the full lifetime of bearings in machines. This data is useful for model training as well as for validation purposes. This paper demons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39ec7ec52778a63710f631e515786b23
https://doi.org/10.1016/j.ifacol.2019.11.704
https://doi.org/10.1016/j.ifacol.2019.11.704
Publikováno v:
AIM
In this paper, we propose a novel feature extraction approach for detecting wear in internal gear pumps. In a data-driven approach, the pressure reduction time (PRT) was identified as a useful feature for wear detection. It measures the time for redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::017636467d785f47a93080fb01650b7a
https://doi.org/10.1109/aim43001.2020.9158866
https://doi.org/10.1109/aim43001.2020.9158866