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An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion.

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Title: An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion.
Authors: Liu, Xianli1, Xianli.liu@hrbust.edu.cn, Zhang, Bowen1, Li, Xuebing1, Liu, Shaoyang1, Yue, Caixu1, Liang, Steven Y.2
Source: Journal of Intelligent Manufacturing; Feb2023, Vol. 34 Issue 2, p885-902, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 161397597
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion.
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  Data: <searchLink fieldCode="AU" term="%22Liu%2C+Xianli%22">Liu, Xianli</searchLink><relatesTo>1</relatesTo>, <i>Xianli.liu@hrbust.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Bowen%22">Zhang, Bowen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Xuebing%22">Li, Xuebing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Shaoyang%22">Liu, Shaoyang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yue%2C+Caixu%22">Yue, Caixu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liang%2C+Steven+Y%2E%22">Liang, Steven Y.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Feb2023, Vol. 34 Issue 2, p885-902, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161397597
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10845-022-01954-9
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 885
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      – TitleFull: An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion.
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            NameFull: Liu, Xianli
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            NameFull: Zhang, Bowen
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            NameFull: Li, Xuebing
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            – D: 01
              M: 02
              Text: Feb2023
              Type: published
              Y: 2023
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