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    <identifier>10.57760/sciencedb.32545</identifier>
    <datestamp>2025-11-28T13:41:25Z</datestamp>
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  <dc:date>2025-11-28</dc:date>
  <dc:title>Fault signal dataset generated by digital twin of motor bearings</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.32545</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>A high-fidelity digital twin with multi-physics coupling was established using 3ds Max and Unity3D platforms, achieving dynamic mapping of the motor bearing's full lifecycle through real-time interaction mechanisms and constructing a comprehensive twin dataset covering all fault modes.</dc:description>
  <dc:subject>digital twin; motor bearings; fault diagnosis; real-time interaction</dc:subject>
  <dc:creator>Peng Jiang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nd/4.0</dc:rights>
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