CWMS-GAN: A small-sample bearing fault diagnosis method based on continuous wavelet transform and multi-size kernel attention mechanism

• Shun Yu ,

  Contributed equally to this work with: Shun Yu, Zi Li

  Roles Methodology

  Affiliation School of Systems and Computing, University of New South Wales, Canberra, Australia

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• Zi Li ,

  Contributed equally to this work with: Shun Yu, Zi Li

  Roles Software

  Affiliation School of Systems and Computing, University of New South Wales, Canberra, Australia

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• Jialin Gu,

  Roles Conceptualization

  Affiliation School of Systems and Computing, University of New South Wales, Canberra, Australia

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• Runpu Wang,

  Roles Validation

  Affiliation School of Systems and Computing, University of New South Wales, Canberra, Australia

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• Xiaoyu Liu,

  Roles Writing – original draft

  Affiliation Guanghua School of Management, Peking university, Beijing, China

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• Lin Li,

  Roles Visualization

  Affiliation Faculty of Science and Engineering, Southern Cross University, Gold Coast, Australia

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• Fusen Guo,

  Roles Validation, Writing – review & editing

  Affiliation School of Systems and Computing, University of New South Wales, Canberra, Australia

  https://orcid.org/0009-0007-9142-697X

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• Yuheng Ren

  Roles Writing – review & editing

  * E-mail: hoture@126.com

  Affiliation School of Business Economics, European Union University, Montreux, Switzerland

  https://orcid.org/0009-0002-9679-9947

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