Statistical Control of Defects in a Continuously Cast Billet Based on Machine Learning and Data Analysis Methods
- 作者: Varfolomeev I.A.1, Ershov E.V.1, Vinogradova L.N.1
- 
							隶属关系: 
							- Cherepovets State University
 
- 期: 卷 79, 编号 8 (2018)
- 页面: 1450-1457
- 栏目: Intellectual Control Systems, Data Analysis
- URL: https://journals.rcsi.science/0005-1179/article/view/150987
- DOI: https://doi.org/10.1134/S0005117918080076
- ID: 150987
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详细
We consider the problems of defects arising in the production of continuously cast billets at continuous casting plants. We propose a model for predicting slab cracks based on the random forest machine learning algorithm. We determine the main technological parameters that influence the appearance of cracks and present the results of the model.
作者简介
I. Varfolomeev
Cherepovets State University
							编辑信件的主要联系方式.
							Email: igor.varf@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Cherepovets						
E. Ershov
Cherepovets State University
														Email: igor.varf@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Cherepovets						
L. Vinogradova
Cherepovets State University
														Email: igor.varf@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Cherepovets						
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