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@INPROCEEDINGS{Knig:803241,
      author       = {König, Florian and Jacobs, Georg and Ouald Chaib, Achraf
                      and Sous, Christopher},
      title        = {{M}achine {L}earning based condition monitoring and anomaly
                      detection for wear lifetime prediction of journal bearing
                      drivetrains},
      reportid     = {RWTH-2020-09596},
      year         = {2020},
      note         = {Projekt ID G:(DE-82)EXS-PF-PFSDS026},
      comment      = {[TAE: 22nd International Colloquium Tribology - Industrial
                      and Automotive Lubrication]},
      booktitle     = {[TAE: 22nd International Colloquium
                       Tribology - Industrial and Automotive
                       Lubrication]},
      organization  = {TAE: 22. International Colloquium
                       Tribology - Industrial and Automotive
                       Lubrication,},
      cin          = {411710},
      cid          = {$I:(DE-82)411710_20190404$},
      pnm          = {PFSDS026 - Data science based wear prediction
                      (EXS-PF-PFSDS026) / ERS Prep Fund - Exploratory Research
                      Space: Prep Fund als Anschubfinanzierung zur Schließung
                      strategischer Lücken (EXS-PF) / EXS - Excellence Strategy
                      (EXS)},
      pid          = {G:(DE-82)EXS-PF-PFSDS026 / G:(DE-82)EXS-PF / G:(DE-82)EXS},
      typ          = {PUB:(DE-HGF)8},
      url          = {https://publications.rwth-aachen.de/record/803241},
}