Advancing electric vehicle inverter multi-class transient fault detection with sequential binary classification techniques.

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Title: Advancing electric vehicle inverter multi-class transient fault detection with sequential binary classification techniques.
Authors: Palaiologou, Ilias1, ipalaiol@ee.duth.gr, Falekas, Georgios1, gfalekas@ee.duth.gr, Fesakis, Nikolaos1, nfesakis@ee.duth.gr, Karlis, Athanasios1, akarlis@ee.duth.gr
Source: Engineering Applications of Artificial Intelligence; Oct2025:Part A, Vol. 158, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 187704062
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Artificial+Intelligence%22">Engineering Applications of Artificial Intelligence</searchLink>; Oct2025:Part A, Vol. 158, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187704062
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.engappai.2025.111430
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Advancing electric vehicle inverter multi-class transient fault detection with sequential binary classification techniques.
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            NameFull: Palaiologou, Ilias
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            NameFull: Falekas, Georgios
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            NameFull: Fesakis, Nikolaos
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              Text: Oct2025:Part A
              Type: published
              Y: 2025
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              Value: 158
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            – TitleFull: Engineering Applications of Artificial Intelligence
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