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Intelligent fault diagnosis method for rolling bearings based on SwinT-MSSCC feature fusion under small sample.

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Title: Intelligent fault diagnosis method for rolling bearings based on SwinT-MSSCC feature fusion under small sample.
Authors: Sun, Xiaochun1, Ding, Hua1, dinghua2002@163.com, Li, Ning1, Feng, Zihan1,2, Zou, Guang1
Source: Expert Systems with Applications; Jun2026, Vol. 317, 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: 193620159
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Intelligent fault diagnosis method for rolling bearings based on SwinT-MSSCC feature fusion under small sample.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193620159
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.eswa.2026.132006
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Intelligent fault diagnosis method for rolling bearings based on SwinT-MSSCC feature fusion under small sample.
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            NameFull: Sun, Xiaochun
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            NameFull: Ding, Hua
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            NameFull: Li, Ning
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            NameFull: Feng, Zihan
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 317
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