{"id":"https://openalex.org/W4405846292","doi":"https://doi.org/10.1109/summa64428.2024.10803732","title":"Heat Exchange Equipment Technical Condition Assessment Using Machine Learning on the Example of Condenser Tubes Contamination","display_name":"Heat Exchange Equipment Technical Condition Assessment Using Machine Learning on the Example of Condenser Tubes Contamination","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4405846292","doi":"https://doi.org/10.1109/summa64428.2024.10803732"},"language":"en","primary_location":{"id":"doi:10.1109/summa64428.2024.10803732","doi":"https://doi.org/10.1109/summa64428.2024.10803732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/summa64428.2024.10803732","pdf_url":null,"source":{"id":"https://openalex.org/S4363607907","display_name":"International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074566847","display_name":"Igor V. Salov","orcid":"https://orcid.org/0000-0001-7187-3739","observed_orcids":["https://orcid.org/0000-0001-7187-3739"]},"institutions":[{"id":"https://openalex.org/I171241948","display_name":"Moscow Power Engineering Institute","ror":"https://ror.org/05sa6gg87","country_code":"RU","type":"education","lineage":["https://openalex.org/I171241948"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Igor V. Salov","raw_affiliation_strings":["National Research University &#x201C;MPEI&#x201D;,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research University &#x201C;MPEI&#x201D;,Moscow,Russia","institution_ids":["https://openalex.org/I171241948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006586804","display_name":"Ivan A. Shcherbatov","orcid":"https://orcid.org/0000-0002-9048-2108","observed_orcids":["https://orcid.org/0000-0002-9048-2108"]},"institutions":[{"id":"https://openalex.org/I171241948","display_name":"Moscow Power Engineering Institute","ror":"https://ror.org/05sa6gg87","country_code":"RU","type":"education","lineage":["https://openalex.org/I171241948"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ivan A. Shcherbatov","raw_affiliation_strings":["The Institute of Energy Efficiency and Hydrogen Technologies, National Research University &#x201C;MPEI&#x201D;,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Energy Efficiency and Hydrogen Technologies, National Research University &#x201C;MPEI&#x201D;,Moscow,Russia","institution_ids":["https://openalex.org/I171241948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I171241948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35702626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"378","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.7026000022888184,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.7026000022888184,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13858","display_name":"Technical Engine Diagnostics and Monitoring","score":0.10999999940395355,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.04270000010728836,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heat-exchangers","display_name":"heat exchangers","score":0.8740000128746033},{"id":"https://openalex.org/keywords/technical-condition-assessment","display_name":"technical condition assessment","score":0.9779999852180481},{"id":"https://openalex.org/keywords/condenser-tubes","display_name":"condenser tubes","score":0.9269999861717224},{"id":"https://openalex.org/keywords/digital-twin","display_name":"digital twin","score":0.8830000162124634},{"id":"https://openalex.org/keywords/simplified-dynamic-model","display_name":"simplified dynamic model","score":0.8339999914169312},{"id":"https://openalex.org/keywords/machine-learning-model-accuracy","display_name":"machine learning model accuracy","score":0.6489999890327454}],"concepts":[{"id":"https://openalex.org/C112570922","wikidata":"https://www.wikidata.org/wiki/Q60528603","display_name":"Contamination","level":2,"score":0.8124974370002747},{"id":"https://openalex.org/C2780934509","wikidata":"https://www.wikidata.org/wiki/Q571589","display_name":"Condenser (optics)","level":3,"score":0.8063747882843018},{"id":"https://openalex.org/C107706546","wikidata":"https://www.wikidata.org/wiki/Q189124","display_name":"Heat exchanger","level":2,"score":0.6072767972946167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4600062668323517},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.4551825225353241},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36665022373199463},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.320041298866272},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2779374420642853},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05752289295196533},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C2982854487","wikidata":"https://www.wikidata.org/wiki/Q9128","display_name":"Light source","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/summa64428.2024.10803732","doi":"https://doi.org/10.1109/summa64428.2024.10803732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/summa64428.2024.10803732","pdf_url":null,"source":{"id":"https://openalex.org/S4363607907","display_name":"International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4943999946117401,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2027240235","https://openalex.org/W2105454049","https://openalex.org/W4298304654"],"related_works":["https://openalex.org/W4246525302","https://openalex.org/W2355749553","https://openalex.org/W2327028314","https://openalex.org/W2070278412","https://openalex.org/W281735054","https://openalex.org/W2565462584","https://openalex.org/W2391272539","https://openalex.org/W2023755051","https://openalex.org/W2513998456","https://openalex.org/W2251948068"],"abstract_inverted_index":{"The":[0,55],"article":[1],"considers":[2],"the":[3,11,22,58,71,80,88,91,99,103,111,114],"issue":[4],"of":[5,14,24,46,50,60,65,73,83,87,90,101,113],"creating":[6],"a":[7,37,43,47,61,66,74,109],"system":[8],"for":[9,78,97],"assessing":[10],"technical":[12,105],"condition":[13,106],"heat":[15],"exchange":[16],"equipment":[17],"using":[18,21,36],"machine":[19,33,75],"learning":[20,34,76],"example":[23],"condenser":[25],"tube":[26],"contamination.":[27,84],"An":[28,85],"approach":[29],"based":[30,41],"on":[31,42],"training":[32],"models":[35],"data":[38],"set":[39],"generated":[40],"computer":[44],"model":[45,64,77,93],"digital":[48],"twin":[49],"an":[51],"object":[52],"is":[53,94],"proposed.":[54,117],"paper":[56],"describes":[57],"development":[59],"simplified":[62],"dynamic":[63],"thermal":[67],"power":[68],"plant":[69],"condenser,":[70],"creation":[72],"determining":[79,102],"average":[81],"thickness":[82],"assessment":[86],"accuracy":[89,100,112],"resulting":[92],"given.":[95],"Methods":[96],"increasing":[98],"current":[104],"and,":[107],"as":[108],"result,":[110],"forecast":[115],"are":[116]},"counts_by_year":[],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2025-10-10T00:00:00"}
