A knowledge extraction method for tracing quality defects in multi-source steel products based on text

doi:10.3969/j.issn.1000-7059.20250303

LIU Shengqi, GUO Yu, LEI Lei, WU Zhaohua

Metallurgical Industry Automation ›› 2026, Vol. 50 ›› Issue (3) : 120-131.

PDF(2248 KB)

Metallurgical Industry Automation ›› 2026, Vol. 50 ›› Issue (3) : 120-131. DOI: 10.3969/j.issn.1000-7059.20250303

Artificial intelligence technique

A knowledge extraction method for tracing quality defects in multi-source steel products based on text

{{article.zuoZhe_EN}}

Author information +

History +

HeighLight

Abstract

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 50(3): 120-131 https://doi.org/10.3969/j.issn.1000-7059.20250303

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

Funding

RIGHTS & PERMISSIONS

PDF(2248 KB)

Accesses

Citation

Detail

Sections

Recommended

Bimonthly, Started in 1976
CN 11-2067/TF
ISSN 1000-7059
Competent Authority: China lron & Steel Association
Sponsor: Automation Research and Design Institute of Metallurgical Industry Co., Ltd.
CISRI Boyuan Publishing Co.,Ltd.
Editor and Publisher: CISRI Boyuan Publishing Co.,Ltd.

Postal Code: 2-321
Foreign Distributed Code: BM5548
Address: No.76 Xueyuan Nanlu, Beijing 100081, China
Tel: 010-62182720, 62181013
www.yjzdh.com, www.chinamet.cn
E-mail: mia@chinamet.cn
International publication Name Code: YEZIES

Please choose a citation manager

Content to export