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...

Full description

Saved in:
Bibliographic Details
Published in:Inventions (Basel) Vol. 7; no. 1; p. 8
Main Authors: Yemelyanov, Vitaliy A., Zhilenkov, Anton A., Chernyi, Sergei G., Zinchenko, Anton, Zinchenko, Elena
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-03-2022
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
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.
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
BookMark eNplUU1LAzEUDFLBr_4AbwHP1WSTzW6OpVgVlHpoz-E1edtu2SY12Qr-e9NWRPD0HjPDvI-5IgMfPBJyy9m9EJo9tP4Tfd8GnyrGGWP1GbksJOejkgs5-NNfkGFKm6zgdSlKrS9JmK-RvkG_xi30rYWOvgWHXaKhoRmksx1GOFjT9xgspkSbEOkktidxBt3eHvkp2LbLMCa6SK1f0bH7BG_R0TnatQ9dWGXuhpw30CUc_tRrspg-zifPo9fZ08tk_Dqyoi76kdDQKIdOATS2toi6dKISQrGq0aisqi00AI6VyJYcrATBpRPKuYoziUtxTV5Ovi7Axuxiu4X4ZQK05giEuDIQ8w0dGl3VqkZQBdOlLLSFShZyyS1nii95wbPX3clrF8PHHlNvNmEffV7fFEoeniuYzip-UtkYUorY_E7lzBxiMv9iEt-Xy4se
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.
DBID AAYXX
CITATION
8FE
8FG
ABUWG
AFKRA
ARAPS
AZQEC
BENPR
BGLVJ
CCPQU
DWQXO
HCIFZ
P5Z
P62
PIMPY
PQEST
PQQKQ
PQUKI
PRINS
DOA
DOI 10.3390/inventions7010008
DatabaseName CrossRef
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni)
ProQuest Central
Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Central
Technology Collection
ProQuest One Community College
ProQuest Central
SciTech Premium Collection
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
Publicly Available Content Database
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
Advanced Technologies & Aerospace Collection
Technology Collection
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Technology Collection
ProQuest SciTech Collection
ProQuest Central China
ProQuest Central
Advanced Technologies & Aerospace Database
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest One Academic
DatabaseTitleList CrossRef

Publicly Available Content Database
Database_xml – sequence: 1
  dbid: DOA
  name: Directory of Open Access Journals
  url: http://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
EISSN 2411-5134
ExternalDocumentID oai_doaj_org_article_97868ea62095429ca7424b1c1061b121
10_3390_inventions7010008
GroupedDBID 5VS
8FE
8FG
AADQD
AAFWJ
AAYXX
ADBBV
AFKRA
AFPKN
AFZYC
ALMA_UNASSIGNED_HOLDINGS
ARAPS
ARCSS
BCNDV
BENPR
BGLVJ
CCPQU
CITATION
GROUPED_DOAJ
HCIFZ
IAO
ITC
MODMG
M~E
OK1
P62
PIMPY
PROAC
ABUWG
AZQEC
DWQXO
PQEST
PQQKQ
PQUKI
PRINS
ID FETCH-LOGICAL-c382t-39af6ded6aafc8cee95d3733607f9e6c68cafaad05e0b1ac4a314d36dd7104eb3
IEDL.DBID DOA
ISSN 2411-5134
IngestDate Tue Oct 22 15:10:58 EDT 2024
Thu Oct 10 17:14:26 EDT 2024
Fri Nov 22 03:17:53 EST 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c382t-39af6ded6aafc8cee95d3733607f9e6c68cafaad05e0b1ac4a314d36dd7104eb3
ORCID 0000-0003-1555-1318
0000-0001-5702-3260
OpenAccessLink https://doaj.org/article/97868ea62095429ca7424b1c1061b121
PQID 2642411309
PQPubID 2055401
ParticipantIDs doaj_primary_oai_doaj_org_article_97868ea62095429ca7424b1c1061b121
proquest_journals_2642411309
crossref_primary_10_3390_inventions7010008
PublicationCentury 2000
PublicationDate 2022-03-01
PublicationDateYYYYMMDD 2022-03-01
PublicationDate_xml – month: 03
  year: 2022
  text: 2022-03-01
  day: 01
PublicationDecade 2020
PublicationPlace Basel
PublicationPlace_xml – name: Basel
PublicationTitle Inventions (Basel)
PublicationYear 2022
Publisher MDPI AG
Publisher_xml – name: MDPI AG
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
SSID ssj0001853599
Score 2.2343316
Snippet The paper presents data on the problems of monitoring and diagnosing the technical conditions of critical production facilities, such as torpedo ladle cars,...
SourceID doaj
proquest
crossref
SourceType Open Website
Aggregation Database
StartPage 8
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
URI https://www.proquest.com/docview/2642411309
https://doaj.org/article/97868ea62095429ca7424b1c1061b121
Volume 7
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV09T8MwELWgEwsCAaJQkAcmpAg7dhx7LNCqCzAAElt08YeEhNqKtP-fc5xEIAYW1nOkRHeJ797l-R0hV6YsgHGvMsl5QIAiZaa1qzOlwQqP-IHzeDh58Vw-vun7WZTJGUZ9RU5YkgdOjosKsEp7UDnWArh3WkAsJ2tuI5SpeZ6AD1PfwFTbXcEsVBiTfmMKxPU37z2HuylZ7GnrH4mo1ev_tR23OWZ-QPa74pBO00Mdkh2_PCIrjCR9GNRVcT3OL_to6CpQNNKntU9RpB3pn2IdSvsRBtHokkIsnYONTFjExrRlCtBpRwCgQ4Md147J63z2crfIujEJmRU632TCQFDOOwUQrMakZwonosohK4PxyiptIQA4VnhWc7ASBJdOKOewupAIpk_IaLla-lNCRZCQ5-CMZloCF1o5rQKTwbvgSlmPyXXvs2qd1DAqRBHRwdUvB4_JbfTqcGEUsm4NGN6qC2_1V3jHZNLHpOq-rqbCIg4LD8y-5uw_7nFO9vJ4qKFllk3IaPO59Rdkt3Hby_at-gJ2_NKQ
link.rule.ids 315,782,786,866,2106,27933,27934
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+Mathematical+Models+of+the+Operation+Process+for+Critical+Production+Facilities+Using+Advanced+Technologies&rft.jtitle=Inventions+%28Basel%29&rft.au=Yemelyanov%2C+Vitaliy+A&rft.au=Zhilenkov%2C+Anton+A&rft.au=Chernyi%2C+Sergei+G&rft.au=Zinchenko%2C+Anton&rft.date=2022-03-01&rft.pub=MDPI+AG&rft.eissn=2411-5134&rft.volume=7&rft.issue=1&rft.spage=8&rft_id=info:doi/10.3390%2Finventions7010008&rft.externalDBID=HAS_PDF_LINK
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2411-5134&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2411-5134&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2411-5134&client=summon