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Year of Publication
Record link:
http://hdl.handle.net/20.500.12708/218691
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Title:
Physics-Informed Auxiliary Losses for Learning Generalisable Diagnostic Models for Suspension Dampers
en
Citation:
Ott, L., Schels, J., Unterreiner, M., Edelmann, J., & Plöchl, M. (2025). Physics-Informed Auxiliary Losses for Learning Generalisable Diagnostic Models for Suspension Dampers. In
2025 IEEE Intelligent Vehicles Symposium (IV)
(pp. 1875–1882). https://doi.org/10.1109/IV64158.2025.11097637
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Publisher DOI:
10.1109/IV64158.2025.11097637
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Publication Type:
Inproceedings - Full-Paper Contribution
en
Language:
English
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Authors:
Ott, Lorenz
Schels, Johannes
Unterreiner, Michael
Edelmann, Johannes
Plöchl, Manfred
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Organisational Unit:
E325-01 - Forschungsbereich Technische Dynamik und Fahrzeugdynamik
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Published in:
2025 IEEE Intelligent Vehicles Symposium (IV)
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Date (published):
7-Jun-2025
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Event name:
2025 IEEE Intelligent Vehicles Symposium (IV)
en
Event date:
22-Jul-2025 - 25-Jul-2025
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Event place:
Cluj-Napoca, Romania
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Number of Pages:
8
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Peer reviewed:
Yes
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Keywords:
Machine Learning; Damper Model; Condition Monitoring; Damper Degratation
en
Research Areas:
Sustainable and Low Emission Mobility: 20%
Modeling and Simulation: 80%
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Science Branch:
2030 - Maschinenbau: 100%
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Appears in Collections:
Conference Paper
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