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      Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation method

      Author(s): , , , , , ,
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      Journal: Advanced Engineering Informatics
      Publisher: Elsevier BV

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            1D convolutional neural networks and applications: A survey

            Serkan Kiranyaz, Onur Avci, Osama Abdeljaber … (2021)
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              Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

              Wade A. Smith, Robert Randall (2015)
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                Author and article information

                Journal
                Title: Advanced Engineering Informatics
                Abbreviated Title: Advanced Engineering Informatics
                Publisher: Elsevier BV
                ISSN (Print): 14740346
                Publication date Created: October 2024
                Publication date (Print): October 2024
                Volume: 62
                Page: 102807
                Article
                DOI: 10.1016/j.aei.2024.102807
                SO-VID: f0e636b6-4437-490d-ae80-c35e3473ede0
                Copyright © © 2024
                License:

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://www.elsevier.com/legal/tdmrep-license

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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