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...
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| Published in | Energies (Basel) Vol. 15; no. 9; p. 2977 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
01.05.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1996-1073 1996-1073 |
| DOI | 10.3390/en15092977 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Zinchenko, Elena Chernyi, Sergei Chernobai, Kirill Emelianov, Vitalii Zinchenko, Anton Emelianova, Nataliia |
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| Copyright | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| SubjectTerms | Algorithms Automation Burnout diagnosing information system lining Methods Neighborhoods neural network Neural networks software steel ladle |
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| Title | Information System for Diagnosing the Condition of the Complex Structures Based on Neural Networks |
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