Record link: 
http://hdl.handle.net/20.500.12708/152957
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Title: 
Weighted LASSO feature selection for the analysis of FT-IR spectra applied to relate engine oil degradation patterns
en
Citation: 
Pfeiffer, P., Ronai, B., Vorlaufer, G., Dörr, N., & Filzmoser, P. (2022, April 28). Weighted LASSO feature selection for the analysis of FT-IR spectra applied to relate engine oil degradation patterns [Conference Presentation]. Tribology International Conference 2022, Barcelona, Spain. http://hdl.handle.net/20.500.12708/152957
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Pfeiffer, Pia 
Ronai, Bettina 
Vorlaufer, Georg 
Dörr, Nicole 
Filzmoser, Peter 
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Organisational Unit: 
E105-06 - Forschungsbereich Computational Statistics 
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Date (published): 
28-Apr-2022
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Event name: 
Tribology International Conference 2022 
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Event date: 
27-Apr-2022 - 29-Apr-2022
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Event place: 
Barcelona, Spain
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Keywords: 
LASSO regression; oil condition monitoring
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FTIR spectroscopy
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Project title: 
Merkmalerkennung in mehrdimensionalen Datensätzen von geschmierten Kontakten: RV-TUW-01 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) 
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Project (external): 
FFG
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Project ID: 
InTribology1, no. 872176
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Research Areas: 
Mathematical and Algorithmic Foundations: 10%
Beyond TUW-research foci: 10%
Modeling and Simulation: 80%
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Science Branch: 
1040 - Chemie: 20%
1020 - Informatik: 10%
1010 - Mathematik: 70%
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