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@ARTICLE{Knig:812125,
      author       = {König, Florian and Marheineke, Jonas and Jacobs, Georg and
                      Sous, Christopher and Zuo, Ming J. and Tian, Zhigang},
      title        = {{D}ata-driven wear monitoring for sliding bearings using
                      acoustic emission signals and long short-term memory neural
                      networks},
      journal      = {Wear},
      volume       = {476},
      issn         = {0043-1648},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {RWTH-2021-01690},
      pages        = {203616},
      year         = {2021},
      note         = {Available online 8 January 2021},
      month         = {Apr},
      date          = {2021-04-26},
      organization  = {23. International Conference on Wear
                       of Materials, online, 26 Apr 2021 - 29
                       Apr 2021},
      cin          = {411710},
      ddc          = {670},
      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)16 / PUB:(DE-HGF)8},
      UT           = {WOS:000679113000004},
      doi          = {10.1016/j.wear.2021.203616},
      url          = {https://publications.rwth-aachen.de/record/812125},
}