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%0 Conference Paper
%A König, Florian
%A Jacobs, Georg
%A Ouald Chaib, Achraf
%A Sous, Christopher
%T Machine Learning based condition monitoring and anomaly detection for wear lifetime prediction of journal bearing drivetrains
%M RWTH-2020-09596
%D 2020
%Z Projekt ID G:(DE-82)EXS-PF-PFSDS026
%< [TAE: 22nd International Colloquium Tribology - Industrial and Automotive Lubrication]
%B TAE: 22. International Colloquium Tribology - Industrial and Automotive Lubrication
%C ,  ()
%F PUB:(DE-HGF)8
%9 Contribution to a conference proceedings
%U https://publications.rwth-aachen.de/record/803241