Method to Detect Slag Flow in Course of Steel Casting Based on Machine Learning Algorithms

Author:

Tsygankov Yury1,Kovriznich Yury1,Smirnov Dmitry1,Poleshchenko Dmitry1

Affiliation:

1. Stary Oskol technological institute (branch) NUST “MISIS”,Automated and information control systems department,Stary Oskol,Russia

Funder

Russian Science Foundation

Publisher

IEEE

Reference24 articles.

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3. Modern methods of vibroacoustic diagnostics;matyushkova;Omsk Scientific Bulletin Radio engineering and communications,2013

4. Application of the method of singular spectral analysis for identification of signals of electrical activity of the brain;matveev;Vestnik VSU Series System analysis and information technologies,2012

5. Monitoring of dynamic processes based on singular spectral analysis;lyubchik;Bulletin of the National Technical University “KhPI” System analysis management and information technologies,2005

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of a Neural Network Method for Identification of the Method to Detect Slag Flow in a Metallurgical Unit "Steel Ladle-Intermediate Ladle";2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA);2023-11-08

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