Research on Steelmaking Production Scheduling Defect Monitoring Based on Data Mining Model Identification
Traditional methods are difficult to achieve efficient steelmaking production scheduling and monitoring due to complex data structures and strong hidden defect patterns. This paper proposes a defect recognition model based on multi-stage data mining.
Authors
- Haibo Peng
- Zhou Rong (ORCID: https://orcid.org/0000-0003-3542-7453)
- Zhiqiang Wang (ORCID: https://orcid.org/0000-0002-1789-8414)
- G.X. Yuan J.Y. Li
Institutions
- Kunming Institute of Precious Metals (CN)
- Yunnan Metallurgical Group (China) (CN)
- Yunnan Open University (CN)
Publication Details
- Published
- 2025-08-25
- DOI
- https://doi.org/10.22541/au.175615575.52419714/v1
- Primary Topic
- Industrial Technology and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00