The Mathematical Models of the Operation Process for Critical Production Facilities Using Advanced Technologies
The paper presents data on the problems of monitoring and diagnosing the technical conditions of critical production facilities, such as torpedo ladle cars, steel ladles. The accidents with critical production facilities, such as torpedo ladle cars, lead to losses and different types of damages in t...
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Published in: | Inventions (Basel) Vol. 7; no. 1; p. 8 |
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01-03-2022
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Abstract | The paper presents data on the problems of monitoring and diagnosing the technical conditions of critical production facilities, such as torpedo ladle cars, steel ladles. The accidents with critical production facilities, such as torpedo ladle cars, lead to losses and different types of damages in the metallurgical industry. The paper substantiates the need for a mathematical study of the operation process of the noted critical production facilities. A Markovian graph has been built that describes the states of torpedo ladle cars during their operation. A mathematical model is presented that allows determining the optimal frequency of diagnostics of torpedo ladle cars, which, in contrast to the existing approaches, take into account the procedures for preventive diagnostics of torpedo ladle cars, without taking them out of service. Dependence of the utilization coefficient on the period of diagnostics of PM350t torpedo ladle cars was developed. The results (of determining the optimal period of diagnostics for PM350t torpedo ladle cars) are demonstrated. The system for automated monitoring and diagnosing the technical conditions of torpedo ladle cars, without taking them out of service, has been developed and described. |
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AbstractList | The paper presents data on the problems of monitoring and diagnosing the technical conditions of critical production facilities, such as torpedo ladle cars, steel ladles. The accidents with critical production facilities, such as torpedo ladle cars, lead to losses and different types of damages in the metallurgical industry. The paper substantiates the need for a mathematical study of the operation process of the noted critical production facilities. A Markovian graph has been built that describes the states of torpedo ladle cars during their operation. A mathematical model is presented that allows determining the optimal frequency of diagnostics of torpedo ladle cars, which, in contrast to the existing approaches, take into account the procedures for preventive diagnostics of torpedo ladle cars, without taking them out of service. Dependence of the utilization coefficient on the period of diagnostics of PM350t torpedo ladle cars was developed. The results (of determining the optimal period of diagnostics for PM350t torpedo ladle cars) are demonstrated. The system for automated monitoring and diagnosing the technical conditions of torpedo ladle cars, without taking them out of service, has been developed and described. |
Author | Zinchenko, Elena Zhilenkov, Anton A. Chernyi, Sergei G. Zinchenko, Anton Yemelyanov, Vitaliy A. |
Author_xml | – sequence: 1 givenname: Vitaliy A. surname: Yemelyanov fullname: Yemelyanov, Vitaliy A. – sequence: 2 givenname: Anton A. orcidid: 0000-0003-1555-1318 surname: Zhilenkov fullname: Zhilenkov, Anton A. – sequence: 3 givenname: Sergei G. orcidid: 0000-0001-5702-3260 surname: Chernyi fullname: Chernyi, Sergei G. – sequence: 4 givenname: Anton surname: Zinchenko fullname: Zinchenko, Anton – sequence: 5 givenname: Elena surname: Zinchenko fullname: Zinchenko, Elena |
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CitedBy_id | crossref_primary_10_3390_inventions8030071 |
Cites_doi | 10.1080/17686733.2019.1639112 10.1177/1687814015575988 10.1016/j.meatsci.2018.06.016 10.1016/j.mineng.2021.107053 10.1007/978-3-030-57745-2_123 10.3390/en14238040 10.1016/j.compeleceng.2021.107225 10.1016/j.jclepro.2020.124463 10.1016/j.enconman.2021.114951 10.4028/www.scientific.net/AMM.121-126.800 10.1002/srin.200300221 10.1088/1757-899X/327/2/022107 10.2355/isijinternational.52.1591 10.2355/isijinternational.43.1185 10.3390/inventions6040074 10.3103/S0967091215090077 |
ContentType | Journal Article |
Copyright | 2021 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. |
Copyright_xml | – notice: 2021 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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References | Volkova (ref_5) 2003; 43 ref_14 Putan (ref_3) 2009; 7 ref_12 ref_11 ref_10 Mishra (ref_28) 2021; 281 Hu (ref_2) 2020; Volume 166 Yemelyanov (ref_25) 2021; 93 ref_17 Chakraborty (ref_20) 2018; 17 Chernyi (ref_23) 2016; 17 Tripath (ref_15) 2012; 52 Andersen (ref_7) 2018; 145 Yilmaz (ref_8) 2003; 74 Li (ref_18) 2011; 121 Yemelyanov (ref_24) 2018; Volume 327 Doukovska (ref_9) 2012; 12 Petrova (ref_19) 2019; 54 ref_21 Gordon (ref_22) 2015; 45 Mihailov (ref_13) 2013; 7 ref_1 ref_27 ref_26 Lai (ref_29) 2021; 170 Berro (ref_30) 2021; 251 ref_4 ref_6 Petrova (ref_16) 2020; 55 |
References_xml | – volume: 17 start-page: 202 year: 2016 ident: ref_23 article-title: Use of Information Intelligent Components for the Analysis of Complex Processes of Marine Energy Systems publication-title: Transp. Telecommun. J. contributor: fullname: Chernyi – volume: 17 start-page: 169 year: 2018 ident: ref_20 article-title: Process-integrated steel ladle monitoring, based on infrared imaging—A robust approach to avoid ladle breakout publication-title: Quant. Infrared Thermogr. J. doi: 10.1080/17686733.2019.1639112 contributor: fullname: Chakraborty – ident: ref_1 doi: 10.1177/1687814015575988 – volume: 145 start-page: 94 year: 2018 ident: ref_7 article-title: Predicting post-mortem meat quality in porcine longissimus lumborum using Raman, near in-frared and fluorescence spectroscopy publication-title: Meat Sci. doi: 10.1016/j.meatsci.2018.06.016 contributor: fullname: Andersen – volume: 7 start-page: 390 year: 2009 ident: ref_3 article-title: Mathematical modelling of thermal stratification phenomena in steel ladles publication-title: Ann. Fac. Eng. Hunedoara Int. J. Eng. Tome contributor: fullname: Putan – ident: ref_11 – volume: 170 start-page: 107053 year: 2021 ident: ref_29 article-title: Solving multifunctionality in the carbon footprint assessment of primary metals production: Comparison of different approaches publication-title: Miner. Eng. doi: 10.1016/j.mineng.2021.107053 contributor: fullname: Lai – volume: Volume 166 start-page: 1519 year: 2020 ident: ref_2 article-title: Large Data and AI Analysis Based Online Diagnosis System Application of Steel Ladle Slewing Bearing publication-title: Advances in Asset Management and Condition Monitoring doi: 10.1007/978-3-030-57745-2_123 contributor: fullname: Hu – ident: ref_26 doi: 10.3390/en14238040 – volume: 93 start-page: 107225 year: 2021 ident: ref_25 article-title: Application of neural networks to forecast changes in the technical condition of critical production facilities publication-title: Comput. Electr. Eng. doi: 10.1016/j.compeleceng.2021.107225 contributor: fullname: Yemelyanov – ident: ref_14 – ident: ref_21 – volume: 281 start-page: 124463 year: 2021 ident: ref_28 article-title: A clean global production network model considering hybrid facilities publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2020.124463 contributor: fullname: Mishra – ident: ref_6 – volume: 251 start-page: 114951 year: 2021 ident: ref_30 article-title: Metal fuels production for future long-distance transportation through the carbothermal reduction of MgO and Al2O3: A review of the solar processes publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2021.114951 contributor: fullname: Berro – ident: ref_4 – volume: 121 start-page: 800 year: 2011 ident: ref_18 article-title: Influence of Working Lining Parameters on Stress Field of Ladle Composite Construction Body publication-title: Appl. Mech. Mater. doi: 10.4028/www.scientific.net/AMM.121-126.800 contributor: fullname: Li – volume: 74 start-page: 485 year: 2003 ident: ref_8 article-title: Thermomechanical Modelling for Refractory Lining of a Steel Ladle Lifted by Crane publication-title: Steel Res. Int. doi: 10.1002/srin.200300221 contributor: fullname: Yilmaz – ident: ref_12 – ident: ref_10 – volume: Volume 327 start-page: 022107 year: 2018 ident: ref_24 article-title: Neural network to diagnose lining condition publication-title: IOP Conference Series: Materials Science and Engineering doi: 10.1088/1757-899X/327/2/022107 contributor: fullname: Yemelyanov – volume: 52 start-page: 1591 year: 2012 ident: ref_15 article-title: Numerical Simulation of Heat Transfer Phenomenon in Steel Making Ladle publication-title: ISIJ Int. doi: 10.2355/isijinternational.52.1591 contributor: fullname: Tripath – volume: 43 start-page: 1185 year: 2003 ident: ref_5 article-title: Modelling of Temperature Distribution in Refractory Ladle Lining for Steelmaking publication-title: ISIJ Int. doi: 10.2355/isijinternational.43.1185 contributor: fullname: Volkova – volume: 12 start-page: 66 year: 2012 ident: ref_9 article-title: Image Processing for Technological Diagnostics of Metallurgical Facilities publication-title: Cybern. Inf. Technol. contributor: fullname: Doukovska – ident: ref_17 – volume: 7 start-page: 122 year: 2013 ident: ref_13 article-title: Model-Based Approach for Investigation of Ladle Lining Damages publication-title: Int. Rev. Mech. Eng. contributor: fullname: Mihailov – ident: ref_27 doi: 10.3390/inventions6040074 – volume: 45 start-page: 627 year: 2015 ident: ref_22 article-title: The modern technology of iron and steel production and possible ways of their development publication-title: Steel Transl. doi: 10.3103/S0967091215090077 contributor: fullname: Gordon – volume: 55 start-page: 2158 year: 2020 ident: ref_16 article-title: Determination of Defects Parameters in Infrared Diagnosis of Steel Ladle Wall publication-title: J. Chem. Technol. Metall. contributor: fullname: Petrova – volume: 54 start-page: 1103 year: 2019 ident: ref_19 article-title: Decision support system for condition based maintains of steel casting ladles publication-title: J. Chem. Technol. Metall. contributor: fullname: Petrova |
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SubjectTerms | Accident prevention application software Automation Automobiles diagnostic system Influence Ladle metallurgy Ladles Markovian graph Mathematical analysis Mathematical models Metallurgical analysis Monitoring operation process Steel production torpedo ladle cars Torpedo ladles |
Title | The Mathematical Models of the Operation Process for Critical Production Facilities Using Advanced Technologies |
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