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Chaotic artificial bee colony-optimized stacking ensemble for robust multifault diagnosis of wind turbines.

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Title: Chaotic artificial bee colony-optimized stacking ensemble for robust multifault diagnosis of wind turbines.
Authors: REVATHI, VEILRAJ1, lvrevathi@gmail.com, JEYADEVI, SOLAIMALAI2, SUDALAIMANI, MADASAMY3
Source: Turkish Journal of Electrical Engineering & Computer Sciences; 2026, Vol. 34 Issue 3, p472-488, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194007414
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Chaotic artificial bee colony-optimized stacking ensemble for robust multifault diagnosis of wind turbines.
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  Data: <searchLink fieldCode="JN" term="%22Turkish+Journal+of+Electrical+Engineering+%26+Computer+Sciences%22">Turkish Journal of Electrical Engineering & Computer Sciences</searchLink>; 2026, Vol. 34 Issue 3, p472-488, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194007414
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.55730/1300-0632.4186
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 18
        StartPage: 472
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      – TitleFull: Chaotic artificial bee colony-optimized stacking ensemble for robust multifault diagnosis of wind turbines.
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            NameFull: REVATHI, VEILRAJ
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            NameFull: JEYADEVI, SOLAIMALAI
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            NameFull: SUDALAIMANI, MADASAMY
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            – D: 01
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              Text: 2026
              Type: published
              Y: 2026
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              Value: 34
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              Value: 3
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            – TitleFull: Turkish Journal of Electrical Engineering & Computer Sciences
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