Machine learning-based state maps for complex dynamical systems: applications to friction-excited brake system vibrations
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource, 1 online resource.
- Language
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Englisch
- Bibliographic citation
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Machine learning-based state maps for complex dynamical systems: applications to friction-excited brake system vibrations ; day:21 ; month:7 ; year:2023 ; pages:1-15
Nonlinear dynamics ; (21.7.2023), 1-15
- Creator
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Geier, Charlotte Magdalena
Hamdi, Saïd
Chancelier, Thierry
Dufrénoy, Philippe
Hoffmann, Norbert
Stender, Merten
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s11071-023-08739-6
- URN
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urn:nbn:de:101:1-2023102516414316239114
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:50 AM CEST
Data provider
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Associated
- Geier, Charlotte Magdalena
- Hamdi, Saïd
- Chancelier, Thierry
- Dufrénoy, Philippe
- Hoffmann, Norbert
- Stender, Merten
- SpringerLink (Online service)
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Mathematical description of self-excited vibrations in silo walls
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Simulation of friction-induced vibrations in automotive brake systems
Wind excited vibrations of structures
Robust structural design against self-excited vibrations
Interaction between torsional and lateral vibrations in flexible rotor systems with discontinuous friction
Friction interface mechanics and self-induced vibrations
Control of friction-induced torsional vibrations in drilling
Data-driven stability maps for friction induced vibrations
Mathematical description of self-excited vibrations in silo walls
Energy flow characteristics of friction-induced nonlinear vibrations in a water-lubricated bearing-shaft coupled system
Analytical Scheme of Stability Analysis for 4-DoF Mechanical System Subjected to Friction-Induced Vibrations
On friction-induced vibrations during tightening of bolted joints