Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Manfred Mücke"'
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 10063 (2022)
Remaining useful life (RUL) prediction is central to prognostics and reliability assessment of light-emitting diode (LED) systems. Their unknown long-term service life remaining when subject to specific operating conditions is affected by various sou
Externí odkaz:
https://doaj.org/article/b7fa496d1a044a929aa665df023eadee
Publikováno v:
Applications in Engineering Science, Vol 6, Iss , Pp 100049- (2021)
Hybrid semiparametric models integrate physics-based (“white-box”, parametric) and data-driven (“black-box”, non-parametric) submodels. Black-box models are often implemented using artificial neural networks (ANNs). In this work, we investiga
Externí odkaz:
https://doaj.org/article/23e3f6d474f24dd5b62bafff29428b69
Publikováno v:
Applications in Engineering Science, Vol 5, Iss , Pp 100030- (2021)
A simple hybrid model, integrating observation (black-box) and physical knowledge (white-box), is employed to model an induction heating process. A neural network is used to estimate the unknown physical process parameter in the physical model. Most
Externí odkaz:
https://doaj.org/article/237c6dcc4e8b454f96ce9fb5144601e9
Publikováno v:
Materials, Vol 12, Iss 17, p 2826 (2019)
In this work, we present and test an approach based on an inverse model applicable to the control of induction heat treatments. The inverse model is comprised of a simplified analytical forward model trained with experiments to predict and control th
Externí odkaz:
https://doaj.org/article/5d5549afcdef4416992be211e3bd8906
Autor:
Romana Boiger, Stefan Defregger, Mirza Grbic, Anton Köck, Manfred Mücke, Robert Wimmer-Teubenbacher, Bernat Zaragoza Travieso
Publikováno v:
Proceedings, Vol 2, Iss 13, p 1058 (2019)
Metal oxide (MOx) gas sensor signals are mainly governed by adsorption and desorption processes of oxygen and its reaction with surrounding gas molecules. Different target gases exhibit different reaction rates leading to characteristic sensor respon
Externí odkaz:
https://doaj.org/article/199877e1e6c749f7ab931c4c6a3ac244
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2013 (2013)
Digital IIR filter implementations are important building blocks of most communication systems. The chosen number format (fixed-point, floating-point; precision) has a major impact on achievable performance and implementation cost. Typically, filter
Externí odkaz:
https://doaj.org/article/4f7f46336683408f94ece923c0d73d58
Autor:
Dimitar Ninevski, Julia Thaler, Paul O'Leary, Thomas Klünsner, Manfred Mücke, Lukas Hanna, Tamara Teppernegg, Martin Treichler, Patrick Peissl, Christoph Czettl
Publikováno v:
Journal of Manufacturing Processes. 82:78-87
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0740e4dc63bd991bffd6d7a534f91c
https://doi.org/10.1016/j.jmapro.2022.07.030
https://doi.org/10.1016/j.jmapro.2022.07.030
Autor:
Mohammad Zhian Asadzadeh, Andreas Eiböck, Hans-Peter Gänser, Thomas Klünsner, Manfred Mücke, Lukas Hanna, Tamara Teppernegg, Martin Treichler, Patrick Peissl, Christoph Czettl
Publikováno v:
Journal of Manufacturing Processes. 80:612-623
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b1f01fddd802ca5125c37dbe0082cee
https://doi.org/10.1016/j.jmapro.2022.05.034
https://doi.org/10.1016/j.jmapro.2022.05.034
Publikováno v:
Applications in Engineering Science, Vol 6, Iss, Pp 100049-(2021)
Hybrid semiparametric models integrate physics-based (“white-box”, parametric) and data-driven (“black-box”, non-parametric) submodels. Black-box models are often implemented using artificial neural networks (ANNs). In this work, we investiga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::711863e2b835d6fdb75dc165d6690de8
https://doi.org/10.1016/j.apples.2021.100049
https://doi.org/10.1016/j.apples.2021.100049
Publikováno v:
Materials, Vol 12, Iss 17, p 2826 (2019)
Materials
Volume 12
Issue 17
Materials
Volume 12
Issue 17
In this work, we present and test an approach based on an inverse model applicable to the control of induction heat treatments. The inverse model is comprised of a simplified analytical forward model trained with experiments to predict and control th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3398ce0583ea5f10846b21c3bf4dd14e
https://www.mdpi.com/1996-1944/12/17/2826
https://www.mdpi.com/1996-1944/12/17/2826