Development of a Neural Network Method for Identification of the Method to Detect Slag Flow in a Metallurgical Unit "Steel Ladle-Intermediate Ladle"-Reference-Cited by-同舟云学术

Development of a Neural Network Method for Identification of the Method to Detect Slag Flow in a Metallurgical Unit "Steel Ladle-Intermediate Ladle"

Published:2023-11-08 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)
language:
Short-container-title:

Author:

Tsygankov Y.A.¹,Kovriznich Y.A.¹,Sergeychik M.S.¹,Korenev A.V.¹

Affiliation:

1. Stary Oskol Technological Institute (Branch) NUST "MISIS",Automated and Information Control Systems Department,Stary Oskol,Russia

Funder

Russian Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10349344/10349346/10349591.pdf?arnumber=10349591

Reference13 articles.

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

2. Vibration detection of slag during steel pouring from a steel ladle into an intermediate ladle;Semyonov;Automated technologies and productions,2015

3. Experimental investigation of influence of fluid flow irregularity on vibroacoustic characteristics of paddle machines;Gorin

4. Development of vibration style ladle slag detection methods and the key technologies

5. Steel water continuous casting slag detection system based on VQ;Da-Peng

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. Hybrid Method of Vibration Acceleration Signal Analysis for Solving the Problem of Early Slag Recognition During Steel Casting;2024 26th International Conference on Digital Signal Processing and its Applications (DSPA);2024-03-27