Information System for Diagnosing the Condition of the Complex Structures Based on Neural Networks

Energies

Elena Zinchenko¹  Kirill Chernobai¹  Anton Zinchenko¹  Sergei Chernyi¹  Nataliia Emelianova²  Vitalii Emelianov² 

[1] Department of Cyber-Physical Systems, St. Petersburg State Marine Technical University, 190121 St. Petersburg, Russia;Financial University under the Government of the Russian Federation, 49 Leningradsky Prospekt, 125993 Moscow, Russia;

关键词: information system;    diagnosing;    lining;    steel ladle;    neural network;    software;   

DOI  :  10.3390/en15092977

来源: DOAJ

【 摘 要 】

In this paper, we describe the relevance of diagnosing the lining condition of steel ladles in metallurgical facilities. Accidents with steel ladles lead to losses and different types of damage in iron and steel works. We developed an algorithm for recognizing thermograms of steel ladles to identify burnout zones in the lining based on the technology and design of neural networks. A diagnostic system structure for automated evaluating of the technical conditions of steel ladles without taking them out of service has been developed and described.

【 授权许可】

Unknown