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A Deep Learning-Based Framework for Bearing RUL Prediction to Optimize Laser Shock Peening Remanufacturing.

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Title: A Deep Learning-Based Framework for Bearing RUL Prediction to Optimize Laser Shock Peening Remanufacturing.
Authors: Liang, Yuchen1, liangyuchen@ujs.edu.cnlianping@stmail.ujs.edu.cn, Wang, Yuqi2, yqwang@whut.edu.cn, Li, Anping1, Gu, Chengyi3, guchengyi20100703@163.com, Tang, Jie3, tangjie20100703@163.com, Pang, Xianjuan4, xjpang2001@haust.edu.cn
Source: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 22, p10493, 16p
Database: Applied Science & Technology Source
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  Data: A Deep Learning-Based Framework for Bearing RUL Prediction to Optimize Laser Shock Peening Remanufacturing.
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  Data: <searchLink fieldCode="AU" term="%22Liang%2C+Yuchen%22">Liang, Yuchen</searchLink><relatesTo>1</relatesTo>, <i>liangyuchen@ujs.edu.cnlianping@stmail.ujs.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Yuqi%22">Wang, Yuqi</searchLink><relatesTo>2</relatesTo>, <i>yqwang@whut.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Anping%22">Li, Anping</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gu%2C+Chengyi%22">Gu, Chengyi</searchLink><relatesTo>3</relatesTo>, <i>guchengyi20100703@163.com</i><br /><searchLink fieldCode="AU" term="%22Tang%2C+Jie%22">Tang, Jie</searchLink><relatesTo>3</relatesTo>, <i>tangjie20100703@163.com</i><br /><searchLink fieldCode="AU" term="%22Pang%2C+Xianjuan%22">Pang, Xianjuan</searchLink><relatesTo>4</relatesTo>, <i>xjpang2001@haust.edu.cn</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181173987
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        Value: 10.3390/app142210493
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 10493
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      – TitleFull: A Deep Learning-Based Framework for Bearing RUL Prediction to Optimize Laser Shock Peening Remanufacturing.
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            NameFull: Liang, Yuchen
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            NameFull: Wang, Yuqi
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            NameFull: Li, Anping
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            NameFull: Tang, Jie
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              Text: Nov2024
              Type: published
              Y: 2024
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