Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review

被引：38
作者：
Kim, Sung Wook [1 ]
Kong, Jun Ho [2 ]
Lee, Sang Won [3 ]
Lee, Seungchul [1 ,4 ,5 ]
机构：
[1] Pohang Univ Sci & Technol, Dept Mech Engn, 77 Cheongam Ro, Pohang, South Korea
[2] Sungkyunkwan Univ, Grad Sch, Dept Mech Engn, 2066 Seobu Ro, Suwon, South Korea
[3] Sungkyunkwan Univ, Sch Mech Engn, 2066 Seobu Ro, Suwon, South Korea
[4] Pohang Univ Sci & Technol, Grad Sch Artificial Intelligence, 77 Cheongam Ro, Pohang, South Korea
[5] Yonsei Univ, Inst Convergence Res & Educ Adv Technol, 50 Yonsei Ro, Seoul, South Korea
来源：
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING | 2022年 / 23卷 / 01期
基金：
新加坡国家研究基金会;
关键词：
Artificial intelligence; Deep learning; Fault detection and diagnosis; Condition monitoring; Manufacturing process; CONVOLUTIONAL NEURAL-NETWORKS; OF-CHARGE ESTIMATION; DEFECT PATTERNS; FAULT-DETECTION; CLASSIFICATION; DIAGNOSIS; MACHINE; SYSTEM; STATE; CNN;
D O I：
10.1007/s12541-021-00600-3
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The recent advances in artificial intelligence have already begun to penetrate our daily lives. Even though the development is still in its infancy, it has been shown that it can outperform human beings even in terms of intelligence (e.g., AlphaGo by DeepMind), implying a massive potential for its broader application in various industrial sectors. In particular, the growing public interest in industry 4.0, which focuses on revolutionizing the traditional manufacturing scene, has stimulated a deeper investigation of its possible applications in the related industries. Since it has several limitations that hinder its direct usage, research on the convergence of artificial intelligence with other engineering fields, including precision engineering and manufacturing, is ongoing. This overview looks to summarize some of the important achievements made using artificial intelligence in some of the most influential and lucrative manufacturing industries in hopes of transforming the manufacturing sites.
引用
收藏
页码：111 / 129
页数：19
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