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4 results for Pang,+Wanjing

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ArticlesPeer ReviewedFull Text
Novel monitoring method for material removal rate considering quantitative wear of abrasive belts based on LightGBM learning algorithm
Author / Creator:Wang, Nina ; Zhang, Guangpeng ; Pang, Wanjing ; Ren, Lijuan ; Wang, Yupeng
Publisher:London: Springer London
Journal title:International journal of advanced manufacturing technology, 2021-06, Vol.114 (11-12), p.3241-3253
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ArticlesPeer ReviewedFull Text
Modeling and monitoring the material removal rate of abrasive belt grinding based on vision measurement and the gene expression programming (GEP) algorithm
Author / Creator:Ren, Lijuan ; Wang, Nina ; Pang, Wanjing ; Li, Yongchang ; Zhang, Guangpeng
Publisher:London: Springer London
Journal title:International journal of advanced manufacturing technology, 2022-05, Vol.120 (1-2), p.385-401
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ArticlesPeer ReviewedFull Text
Novel monitoring method for belt wear state based on machine vision and image processing under grinding parameter variation
Author / Creator:Wang, Nina ; Zhang, Guangpeng ; Ren, Lijuan ; Pang, Wanjing ; Li, Yongchang
Publisher:London: Springer London
Journal title:International journal of advanced manufacturing technology, 2022-09, Vol.122 (1), p.87-101
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ArticlesPeer ReviewedFull Text
Correction to: Novel monitoring method for belt wear state based on machine vision and image processing under grinding parameter variation
Author / Creator:Wang, Nina ; Zhang, Guangpeng ; Ren, Lijuan ; Pang, Wanjing ; Li, Yongchang
Publisher:London: Springer London
Journal title:International journal of advanced manufacturing technology, 2022-09, Vol.122 (1), p.103-104
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Novel monitoring method for material removal rate considering quantitative wear of abrasive belts based on LightGBM learning algorithm

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Modeling and monitoring the material removal rate of abrasive belt grinding based on vision measurement and the gene expression programming (GEP) algorithm

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Novel monitoring method for belt wear state based on machine vision and image processing under grinding parameter variation

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Correction to: Novel monitoring method for belt wear state based on machine vision and image processing under grinding parameter variation

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