Deep belief network-based fault diagnosis method for hot-finishing-rolling process

doi:10. 3969 / j. issn. 1000-7059. 2022. 06. 008

YANG Pengcheng, ZHANG Kai, PENG Kaixiang

Metallurgical Industry Automation ›› 2022, Vol. 46 ›› Issue (6) : 78-87.

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Metallurgical Industry Automation ›› 2022, Vol. 46 ›› Issue (6) : 78-87. DOI: 10. 3969 / j. issn. 1000-7059. 2022. 06. 008

Artificial intelligence technique

Deep belief network-based fault diagnosis method for hot-finishing-rolling process

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2022, 46(6): 78-87 https://doi.org/10. 3969 / j. issn. 1000-7059. 2022. 06. 008

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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.
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Received	Published
2022-05-20	2022-11-25
Issue Date
2024-02-08

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