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Health assessment of wind turbine bearings progressive degradation based on unsupervised machine learning.

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Title: Health assessment of wind turbine bearings progressive degradation based on unsupervised machine learning.
Authors: Maatallah, Hamida1 (AUTHOR) hamida.maatallah@enicar.u-carthage.tn, Ouni, Kais1 (AUTHOR)
Source: Wind Engineering. Dec2022, Vol. 46 Issue 6, p1888-1900. 13p.
Database: Environment Complete
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PubType: Academic Journal
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  Data: Health assessment of wind turbine bearings progressive degradation based on unsupervised machine learning.
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  Data: <searchLink fieldCode="AR" term="%22Maatallah%2C+Hamida%22">Maatallah, Hamida</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hamida.maatallah@enicar.u-carthage.tn</i><br /><searchLink fieldCode="AR" term="%22Ouni%2C+Kais%22">Ouni, Kais</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Wind+Engineering%22">Wind Engineering</searchLink>. Dec2022, Vol. 46 Issue 6, p1888-1900. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=159998096
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        Value: 10.1177/0309524X221114054
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 1888
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      – TitleFull: Health assessment of wind turbine bearings progressive degradation based on unsupervised machine learning.
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              Text: Dec2022
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              Y: 2022
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