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Acoustic fault diagnosis of three-phase induction motors using smartphone and deep learning.

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Title: Acoustic fault diagnosis of three-phase induction motors using smartphone and deep learning.
Authors: Glowacz, Adam1, adglow@agh.edu.pl, Sulowicz, Maciej2, maciej.sulowicz@pk.edu.pl, Zielonka, Jakub2, jakub.zielonka@doktorant.pk.edu.pl, Li, Zhixiong3, z.li@po.edu.pl, Glowacz, Witold1, wglowacz@agh.edu.pl, Kumar, Anil4, 20210129@wzu.edu.cn
Source: Expert Systems with Applications; Mar2025, Vol. 262, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181497165
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181497165
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.eswa.2024.125633
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Acoustic fault diagnosis of three-phase induction motors using smartphone and deep learning.
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            NameFull: Glowacz, Adam
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            NameFull: Sulowicz, Maciej
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            NameFull: Zielonka, Jakub
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            NameFull: Li, Zhixiong
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            NameFull: Glowacz, Witold
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            NameFull: Kumar, Anil
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          Dates:
            – D: 01
              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
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              Value: 262
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