Quality Analysis Method for Hot Strip Rolling Based on Data Mining Technology
Zhen Hou, Hai Gao, Chen Chen
Available Online July 2016.
- https://doi.org/10.2991/iccia-17.2017.91How to use a DOI?
- hot rolling of strip steel, data mining technology, correlation analysis, quality analysis, control parameters.
- The hot rolling of strip steel is a continuous, multi-staged, complex production process, and there are about one hundred of control parameters which are directly related to the quality of strip steel products in this complicated process. Researches have shown that, according to the industrial characteristics of hot strip rolling, using data mining technology to extract the useful, potential and ultimately understandable process knowledge, and get the corresponding relationship between the strip steel quality defects and control parameters. It can quickly locate the causes of strip steel quality problems, and find out the key control parameters to make adjustments, improve production efficiency and production quality, and reduce economic losses. It provides a scientific and accurate way to analyze the quality problems of hot rolled strip steel products.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhen Hou AU - Hai Gao AU - Chen Chen PY - 2016/07 DA - 2016/07 TI - Quality Analysis Method for Hot Strip Rolling Based on Data Mining Technology BT - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017) PB - Atlantis Press SP - 539 EP - 546 SN - 2352-538X UR - https://doi.org/10.2991/iccia-17.2017.91 DO - https://doi.org/10.2991/iccia-17.2017.91 ID - Hou2016/07 ER -