Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Johannes Seefried"'
Autor:
Alexander Kuehl, Maximilian Kneidl, Johannes Seefried, Michael Masuch, Michael Weigelt, Joerg Franke
Publikováno v:
Energies, Vol 15, Iss 21, p 7911 (2022)
The option of wireless energy transmission in electric vehicles can become the main market driver for electric vehicles due to its distinct advantages, such as range, weight, or costs, over conventional conductive charging solutions. In addition to t
Externí odkaz:
https://doaj.org/article/f957d440372c4845b98e94ac34b72e9a
Autor:
Johannes Seefried, Elisabeth B. Schwarz, Fabian Bleier, Jorg Franke, Jean Pierre Bergmann, Alexander Kuhl
Publikováno v:
2022 12th International Electric Drives Production Conference (EDPC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f65e248dc57fdc12cb822bff1ac68b09
https://doi.org/10.1109/edpc56367.2022.10019751
https://doi.org/10.1109/edpc56367.2022.10019751
Publikováno v:
International Journal of Mechanical Engineering and Robotics Research. :163-169
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be36822591c57ec399b23516eec4b511
https://doi.org/10.18178/ijmerr.9.2.163-169
https://doi.org/10.18178/ijmerr.9.2.163-169
Publikováno v:
2021 11th International Electric Drives Production Conference (EDPC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba398f83257e042a884bcb3ba08387d2
https://doi.org/10.1109/edpc53547.2021.9684202
https://doi.org/10.1109/edpc53547.2021.9684202
Autor:
Tobias Gläßel, Johannes Seefried, Jörg Franke, Michael Weigelt, Benjamin Lutz, Dominik Kißkalt, Andreas Mayr
Publikováno v:
Zeitschrift für wirtschaftlichen Fabrikbetrieb. 114:145-149
Kurzfassung Industrie 4.0 geht mit einer Vielzahl an Technologien einher, die großes Potenzial für die Elektromotorenproduktion von morgen bieten. Vor allem datengetriebene Ansätze, die sich der Methoden des maschinellen Lernens (ML) bedienen, rü
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56862ed8a23cba11b2aa224eeba5f55f
https://doi.org/10.3139/104.112051
https://doi.org/10.3139/104.112051
Publikováno v:
Applied Mechanics and Materials. 882:119-126
One of the major and at the same time most critical process step in the production of electric drives is the contacting process. The purpose of this contacting process is to join the stator windings mechanically and electrically with a contact elemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c22e867413fbe7d8551be3493f853bb2
https://doi.org/10.4028/www.scientific.net/amm.882.119
https://doi.org/10.4028/www.scientific.net/amm.882.119
Autor:
Johannes Seefried, Joerg Franke, Daniel Schwinghammer, Alexander Kuehl, Tobias Glaessel, Florian Baat
Publikováno v:
Procedia CIRP. 74:17-22
Driven by electric mobility innovative winding methods increasing the copper fill ratio and thus the power density of electrical drives gain in importance. Compared to conventional windings, bar-wound windings based on rectangular cross sections besi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15e6d9879353748419bffd8539107e86
https://doi.org/10.1016/j.procir.2018.08.005
https://doi.org/10.1016/j.procir.2018.08.005
Publikováno v:
Procedia Manufacturing. 17:78-85
Machine learning (ML) is a key technology in smart manufacturing. In contrast to common physical simulations, ML algorithms offer insight into complex processes without requiring in-depth domain knowledge. Within the electric drives production, innov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f8103887d084afbe351d50759d058f5
https://doi.org/10.1016/j.promfg.2018.10.015
https://doi.org/10.1016/j.promfg.2018.10.015
Publikováno v:
Controlling & Management Review. 61:64-67
Die Hilti AG hat ihre Controller zu Finance-Business-Partnern entwickelt. Die Kompetenzen, die fur die neue Rolle notwendig sind, hat das Unternehmen in einem masgeschneiderten Kompetenzmodell definiert. Dieses Modell ist nun Grundlage fur die Person
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4547d4ff5712dc5da57d9ee75303c54f
https://doi.org/10.1007/s12176-016-0117-5
https://doi.org/10.1007/s12176-016-0117-5
Autor:
Andreas Mayr, Michael Masuch, Johannes von Lindenfels, Marco Ziegler, Alexander Mahr, Johannes Seefried, Maximilian Metzner, Jörg Franke, Dominik Kisskalt, Moritz Meiners
Publikováno v:
2019 9th International Electric Drives Production Conference (EDPC).
Artificial intelligence entails a wide range of technologies, which provide great potential for tomorrow's electric motor production. Above all, data-driven techniques such as machine learning (ML) are increasingly moving into focus. ML provides syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4521a28c8d42d43f00dbaa0086787931
https://doi.org/10.1109/edpc48408.2019.9011861
https://doi.org/10.1109/edpc48408.2019.9011861