scholarly journals Automation of monitoring and diagnosing the technical condition of torpedo ladle cars

2018 ◽  
Vol 239 ◽  
pp. 04003
Author(s):  
Vitaliy Yemelyanov ◽  
Tatiana Tochilkina ◽  
Alexey Nedelkin ◽  
Evgeny Shved

The paper presents data on the problem of monitoring and diagnosing the technical condition of torpedo ladle cars at the iron and steel works. The structure of technology for automated monitoring and diagnosing the technical condition of torpedo ladle cars has been developed and described, as a system-organized sequence of operations performed with the information on the state of the torpedo ladle cars applying the proposed methods. There has been developed software to implement the operations of information processing for torpedo ladle cars and to support decision-making on selecting their operational mode.

2018 ◽  
Vol 224 ◽  
pp. 04005
Author(s):  
Vitaliy Yemelyanov ◽  
Nataliya Yemelyanova ◽  
Alexey Nedelkin

The paper presents data on the problem of determining the operational mode of lined equipment at the iron and steel works. A neural network synthesis has been performed to determine the operational mode for lined equipment. The structure of the proposed neural network for decision support is described. The results of the modelling the neural network to determine the PM350 torpedo ladle car operational mode are presented.


Metallurg ◽  
2021 ◽  
pp. 81-89
Author(s):  
G.P. Kornilov ◽  
I.R. Abdulveleev ◽  
O.V. Gazizova ◽  
L.A. Koptsev

2014 ◽  
Vol 57 (7) ◽  
pp. 284-287 ◽  
Author(s):  
A. Ya. Eremin ◽  
N. V. Zagaynov ◽  
V. V. Lobanov ◽  
Da Way Liu ◽  
Van Chzhenchan

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