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International Journal of Production Research Volume 59, 2021 - Issue 16
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Machine Learning in Manufacturing and Industry 4.0 applications

Applications of deep learning for fault detection in industrial cold forging

Andrew Glaesera University of Wisconsin-Madison, Madison, WI, USAView further author information
,
Vignesh Selvaraja University of Wisconsin-Madison, Madison, WI, USAORCID Iconhttps://orcid.org/0000-0002-4890-7264View further author information
ORCID Icon,
Sooyoung Leea University of Wisconsin-Madison, Madison, WI, USA;b Pohang University of Science and Technology, Pohang-si, Gyeongsangbuk-do, South KoreaView further author information
,
Yunseob Hwanga University of Wisconsin-Madison, Madison, WI, USA;b Pohang University of Science and Technology, Pohang-si, Gyeongsangbuk-do, South KoreaView further author information
,
Kangsan Leea University of Wisconsin-Madison, Madison, WI, USA;b Pohang University of Science and Technology, Pohang-si, Gyeongsangbuk-do, South KoreaView further author information
,
Namjeong Leea University of Wisconsin-Madison, Madison, WI, USA;b Pohang University of Science and Technology, Pohang-si, Gyeongsangbuk-do, South KoreaView further author information
,
Seungchul Leeb Pohang University of Science and Technology, Pohang-si, Gyeongsangbuk-do, South KoreaORCID Iconhttps://orcid.org/0000-0002-1034-1410View further author information
ORCID Icon &
Sangkee Mina University of Wisconsin-Madison, Madison, WI, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3550-3711View further author information
ORCID Icon show all
Pages 4826-4835 | Received 11 May 2020, Accepted 11 Feb 2021, Published online: 09 Mar 2021

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Fernanda Strozzi & Rossella Pozzi. (2024) Trend and seasonality features extraction with pre-trained CNN and recurrence plot. International Journal of Production Research 62:9, pages 3251-3262.
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Jianbo Yu, Yanshu Wang, Qingfeng Li, Hao Li, Mingyan Ma & Peilun Liu. (2023) Cascaded adaptive global localisation network for steel defect detection. International Journal of Production Research 0:0, pages 1-18.
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Jianbo Yu, Shijin Li, Xing Liu, Yanfeng Gao, Shijin Wang & Changhui Liu. (2023) Dynamic convolutional gated recurrent unit attention auto-encoder for feature learning and fault detection in dynamic industrial processes. International Journal of Production Research 61:21, pages 7434-7452.
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Prashant K. Ambadekar, Sarita Ambadekar, C. M. Choudhari, Satish A. Patil & S.H. Gawande. (2023) Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective. Australian Journal of Mechanical Engineering 0:0, pages 1-21.
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Rahul Rai, Manoj Kumar Tiwari, Dmitry Ivanov & Alexandre Dolgui. (2021) Machine learning in manufacturing and industry 4.0 applications. International Journal of Production Research 59:16, pages 4773-4778.
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Ajit Sharma, Zhibo Zhang & Rahul Rai. (2021) The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing. International Journal of Production Research 59:16, pages 4960-4994.
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