Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Heindel, Leonhard"'
Extensive monitoring comes at a prohibitive cost, limiting Predictive Maintenance strategies for vehicle fleets. This paper presents a measurement-based soft sensing technique where local strain gauges are only required for few reference vehicles, wh
Externí odkaz:
http://arxiv.org/abs/2302.02737
Autor:
Muench, Stefan, Bhat, Darshankumar, Heindel, Leonhard, Hantschke, Peter, Roellig, Mike, Kaestner, Markus
This paper proposes a computationally efficient methodology to predict the damage progression in solder contacts of electronic components using temperature-time curves. For this purpose, two machine learning algorithms, a Multilayer Perceptron and a
Externí odkaz:
http://arxiv.org/abs/2204.06627
The prediction of system responses for a given fatigue test bench drive signal is a challenging task, for which linear frequency response function models are commonly used. To account for non-linear phenomena, a novel hybrid model is suggested, which
Externí odkaz:
http://arxiv.org/abs/2107.03645
Publikováno v:
PAMM: Proceedings in Applied Mathematics & Mechanics; Dec2023, Vol. 23 Issue 4, p1-8, 8p
Autor:
Carraturo, Massimo, Hennig, Paul, Alaimo, Gianluca, Heindel, Leonhard, Auricchio, Ferdinando, Kästner, Markus, Reali, Alessandro
Publikováno v:
GAMM Mitteilungen; Sep2021, Vol. 44 Issue 3, p1-16, 16p
Autor:
Hennig, Paul, Heindel, Leonhard, Carraturo, Massimo, Reali, Alessandro, Auricchio, Ferdinando, Kästner, Markus
Publikováno v:
PAMM: Proceedings in Applied Mathematics & Mechanics; Jan2021, Vol. 20 Issue 1, p1-4, 4p
Publikováno v:
PAMM: Proceedings in Applied Mathematics & Mechanics; Dec2021, Vol. 21 Issue 1, p1-2, 2p
Publikováno v:
PAMM: Proceedings in Applied Mathematics & Mechanics; Jan2021, Vol. 20 Issue 1, p1-2, 2p