Information System for Diagnosing the Condition of the Complex Structures Based on Neural Networks
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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/9/2977 |
| _version_ | 1797505137020764160 |
|---|---|
| author | Vitalii Emelianov Sergei Chernyi Anton Zinchenko Nataliia Emelianova Elena Zinchenko Kirill Chernobai |
| author_facet | Vitalii Emelianov Sergei Chernyi Anton Zinchenko Nataliia Emelianova Elena Zinchenko Kirill Chernobai |
| author_sort | Vitalii Emelianov |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T04:14:18Z |
| format | Article |
| id | doaj.art-aeca7eaf87714465a92fc50e780e75a7 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:14:18Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-aeca7eaf87714465a92fc50e780e75a72023-11-23T08:04:48ZengMDPI AGEnergies1996-10732022-04-01159297710.3390/en15092977Information System for Diagnosing the Condition of the Complex Structures Based on Neural NetworksVitalii Emelianov0Sergei Chernyi1Anton Zinchenko2Nataliia Emelianova3Elena Zinchenko4Kirill Chernobai5Financial University under the Government of the Russian Federation, 49 Leningradsky Prospekt, 125993 Moscow, RussiaDepartment of Cyber-Physical Systems, St. Petersburg State Marine Technical University, 190121 St. Petersburg, RussiaDepartment of Cyber-Physical Systems, St. Petersburg State Marine Technical University, 190121 St. Petersburg, RussiaFinancial University under the Government of the Russian Federation, 49 Leningradsky Prospekt, 125993 Moscow, RussiaDepartment of Cyber-Physical Systems, St. Petersburg State Marine Technical University, 190121 St. Petersburg, RussiaDepartment of Cyber-Physical Systems, St. Petersburg State Marine Technical University, 190121 St. Petersburg, RussiaIn 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.https://www.mdpi.com/1996-1073/15/9/2977information systemdiagnosingliningsteel ladleneural networksoftware |
| spellingShingle | Vitalii Emelianov Sergei Chernyi Anton Zinchenko Nataliia Emelianova Elena Zinchenko Kirill Chernobai Information System for Diagnosing the Condition of the Complex Structures Based on Neural Networks Energies information system diagnosing lining steel ladle neural network software |
| title | Information System for Diagnosing the Condition of the Complex Structures Based on Neural Networks |
| title_full | Information System for Diagnosing the Condition of the Complex Structures Based on Neural Networks |
| title_fullStr | Information System for Diagnosing the Condition of the Complex Structures Based on Neural Networks |
| title_full_unstemmed | Information System for Diagnosing the Condition of the Complex Structures Based on Neural Networks |
| title_short | Information System for Diagnosing the Condition of the Complex Structures Based on Neural Networks |
| title_sort | information system for diagnosing the condition of the complex structures based on neural networks |
| topic | information system diagnosing lining steel ladle neural network software |
| url | https://www.mdpi.com/1996-1073/15/9/2977 |
| work_keys_str_mv | AT vitaliiemelianov informationsystemfordiagnosingtheconditionofthecomplexstructuresbasedonneuralnetworks AT sergeichernyi informationsystemfordiagnosingtheconditionofthecomplexstructuresbasedonneuralnetworks AT antonzinchenko informationsystemfordiagnosingtheconditionofthecomplexstructuresbasedonneuralnetworks AT nataliiaemelianova informationsystemfordiagnosingtheconditionofthecomplexstructuresbasedonneuralnetworks AT elenazinchenko informationsystemfordiagnosingtheconditionofthecomplexstructuresbasedonneuralnetworks AT kirillchernobai informationsystemfordiagnosingtheconditionofthecomplexstructuresbasedonneuralnetworks |