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Gearbox compound fault diagnosis using CEEMDAN feature extraction and a dual-attention multi-scale BiLSTM model.

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Title: Gearbox compound fault diagnosis using CEEMDAN feature extraction and a dual-attention multi-scale BiLSTM model.
Authors: Wu, Lianxin1, 906889823@qq.com, Sun, Xiaojie1, sxjlm2003@163.com
Source: Journal of Vibroengineering; Jun2026, Vol. 28 Issue 4, p869-886, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195026779
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PubType: Academic Journal
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  Data: Gearbox compound fault diagnosis using CEEMDAN feature extraction and a dual-attention multi-scale BiLSTM model.
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  Data: <searchLink fieldCode="AU" term="%22Wu%2C+Lianxin%22">Wu, Lianxin</searchLink><relatesTo>1</relatesTo>, <i>906889823@qq.com</i><br /><searchLink fieldCode="AU" term="%22Sun%2C+Xiaojie%22">Sun, Xiaojie</searchLink><relatesTo>1</relatesTo>, <i>sxjlm2003@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Vibroengineering%22">Journal of Vibroengineering</searchLink>; Jun2026, Vol. 28 Issue 4, p869-886, 18p
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      – Type: doi
        Value: 10.21595/jve.2026.26068
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 869
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      – TitleFull: Gearbox compound fault diagnosis using CEEMDAN feature extraction and a dual-attention multi-scale BiLSTM model.
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            NameFull: Wu, Lianxin
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            NameFull: Sun, Xiaojie
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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