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The survey of industrial anomaly detection for industry 5.0.

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Title: The survey of industrial anomaly detection for industry 5.0.
Authors: Wen, Long1,2,3, Zhang, Yang1, Hu, Wentao1, Li, Xinyu4, lixinyu@mail.hust.edu.cn
Source: International Journal of Computer Integrated Manufacturing; Jun2026, Vol. 39 Issue 6, p727-748, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194222043
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: The survey of industrial anomaly detection for industry 5.0.
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  Data: <searchLink fieldCode="AU" term="%22Wen%2C+Long%22">Wen, Long</searchLink><relatesTo>1,2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Yang%22">Zhang, Yang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Hu%2C+Wentao%22">Hu, Wentao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Xinyu%22">Li, Xinyu</searchLink><relatesTo>4</relatesTo>, <i>lixinyu@mail.hust.edu.cn</i>
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/0951192X.2024.2397821
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 727
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      – TitleFull: The survey of industrial anomaly detection for industry 5.0.
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            NameFull: Wen, Long
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            NameFull: Zhang, Yang
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            NameFull: Hu, Wentao
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            NameFull: Li, Xinyu
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 39
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              Value: 6
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            – TitleFull: International Journal of Computer Integrated Manufacturing
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