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Deep Domain Adaptation Network for Drive Train of the Wind Turbine Fault Diagnosis Using Acoustic Emission.

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Title: Deep Domain Adaptation Network for Drive Train of the Wind Turbine Fault Diagnosis Using Acoustic Emission.
Authors: Yang, Yong1,2, Li, Jing3,4, lijing@nau.edu.cn, Deng, Aidong4,5, Zhao, Li2, Staiano, Antonino, antonino.staiano@uniparthenope.it
Source: International Journal of Distributed Sensor Networks; 11/4/2025, Vol. 2025, p1-10, 10p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 189085843
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PubType: Academic Journal
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  Data: Deep Domain Adaptation Network for Drive Train of the Wind Turbine Fault Diagnosis Using Acoustic Emission.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Distributed+Sensor+Networks%22">International Journal of Distributed Sensor Networks</searchLink>; 11/4/2025, Vol. 2025, p1-10, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189085843
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        Value: 10.1155/dsn/4275113
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      – Code: eng
        Text: English
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        PageCount: 10
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      – TitleFull: Deep Domain Adaptation Network for Drive Train of the Wind Turbine Fault Diagnosis Using Acoustic Emission.
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            NameFull: Yang, Yong
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            NameFull: Li, Jing
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              Text: 11/4/2025
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              Y: 2025
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