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@ARTICLE{Becker:1009539,
      author       = {Becker, Marco and Niemietz, Philipp and Bergs, Thomas},
      title        = {{E}xplainable neural network for time series-based
                      condition monitoring in sheet metal shearing},
      journal      = {Journal of intelligent manufacturing},
      issn         = {0956-5515},
      address      = {Dordrecht [u.a.]},
      publisher    = {Springer Science + Business Media B.V},
      reportid     = {RWTH-2025-03515},
      pages        = {30 Seiten},
      year         = {2025},
      note         = {Published: 28 March 2025},
      cin          = {417410 / 417400 / 080067},
      ddc          = {620},
      cid          = {$I:(DE-82)417410_20140620$ / $I:(DE-82)417400_20240301$ /
                      $I:(DE-82)080067_20181221$},
      pnm          = {OAPKF - Open-Access-Publikation mit Unterstützung der RWTH
                      Aachen University (021000-OAPKF) / WS-B1.III-neu - Drive
                      Chain (X080067-WS-B1.III-neu) / DFG project
                      G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP)
                      (390621612)},
      pid          = {G:(DE-82)021000-OAPKF / G:(DE-82)X080067-WS-B1.III-neu /
                      G:(GEPRIS)390621612},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:00145575900001},
      doi          = {10.1007/s10845-025-02596-3},
      url          = {https://publications.rwth-aachen.de/record/1009539},
}