{"id":"https://openalex.org/W3204558720","doi":"https://doi.org/10.1149/10701.4281ecst","title":"Studies on Leak Detection in Process Pipelines Using Artificial Neural Networks/Machine Learning","display_name":"Studies on Leak Detection in Process Pipelines Using Artificial Neural Networks/Machine Learning","publication_year":2022,"publication_date":"2022-04-24","ids":{"openalex":"https://openalex.org/W3204558720","doi":"https://doi.org/10.1149/10701.4281ecst","mag":"3204558720"},"language":"en","primary_location":{"id":"doi:10.1149/10701.4281ecst","doi":"https://doi.org/10.1149/10701.4281ecst","is_oa":false,"landing_page_url":"https://doi.org/10.1149/10701.4281ecst","pdf_url":null,"source":{"id":"https://openalex.org/S4210205149","display_name":"ECS Transactions","issn_l":"1938-5862","issn":["1938-5862","1938-6737","2151-2051"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1","poland-20"],"host_organization":"https://openalex.org/P4310311669","host_organization_name":"Institute of Physics","host_organization_lineage":["https://openalex.org/P4310311669"],"host_organization_lineage_names":["Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECS Transactions","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5027562169","display_name":"N. Harshitha","orcid":"https://orcid.org/0000-0002-2361-0982","observed_orcids":["https://orcid.org/0000-0002-2361-0982"]},"institutions":[{"id":"https://openalex.org/I4389425378","display_name":"R.V. College of Engineering","ror":"https://ror.org/041re0e60","country_code":"IN","type":"education","lineage":["https://openalex.org/I4389425378"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshitha N","raw_affiliation_strings":["Department of Chemical Engineering, RV College of Engineering"],"raw_orcid":"https://orcid.org/0000-0002-2361-0982","affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, RV College of Engineering","institution_ids":["https://openalex.org/I4389425378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083869071","display_name":"Ujwal Shreenag Meda","orcid":"https://orcid.org/0000-0002-5984-3745","observed_orcids":["https://orcid.org/0000-0002-5984-3745"]},"institutions":[{"id":"https://openalex.org/I4389425378","display_name":"R.V. College of Engineering","ror":"https://ror.org/041re0e60","country_code":"IN","type":"education","lineage":["https://openalex.org/I4389425378"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ujwal Shreenag Meda","raw_affiliation_strings":["Centre for Hydrogen and Green Technology, RV College of Engineering","Department of Chemical Engineering, RV College of Engineering"],"raw_orcid":"https://orcid.org/0000-0002-5984-3745","affiliations":[{"raw_affiliation_string":"Centre for Hydrogen and Green Technology, RV College of Engineering","institution_ids":["https://openalex.org/I4389425378"]},{"raw_affiliation_string":"Department of Chemical Engineering, RV College of Engineering","institution_ids":["https://openalex.org/I4389425378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098574099","display_name":"Ashwin Rao Padubidri","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4389425378","display_name":"R.V. College of Engineering","ror":"https://ror.org/041re0e60","country_code":"IN","type":"education","lineage":["https://openalex.org/I4389425378"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashwin Rao Padubidri","raw_affiliation_strings":["Department of Chemical Engineering, RV College of Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, RV College of Engineering","institution_ids":["https://openalex.org/I4389425378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046565894","display_name":"Vinayak Hulake","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4389425378","display_name":"R.V. College of Engineering","ror":"https://ror.org/041re0e60","country_code":"IN","type":"education","lineage":["https://openalex.org/I4389425378"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinayak Hulake","raw_affiliation_strings":["Department of Chemical Engineering, RV College of Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, RV College of Engineering","institution_ids":["https://openalex.org/I4389425378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4389425378"],"apc_list":null,"apc_paid":null,"fwci":1.5741,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76399027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"107","issue":"1","first_page":"4281","last_page":"4297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11220","display_name":"Water Systems and Optimization","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10876","display_name":"Fault Detection and Control Systems","score":0.00430000014603138,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.00279999990016222,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/leak-detection","display_name":"leak detection","score":0.9629999995231628},{"id":"https://openalex.org/keywords/process-pipelines","display_name":"process pipelines","score":0.9020000100135803},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.906000018119812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.9879999756813049},{"id":"https://openalex.org/keywords/leak-localization","display_name":"leak localization","score":0.7820000052452087},{"id":"https://openalex.org/keywords/pipeline-leakage","display_name":"pipe leakage","score":0.5849999785423279}],"concepts":[{"id":"https://openalex.org/C2987355568","wikidata":"https://www.wikidata.org/wiki/Q4420957","display_name":"Leak detection","level":3,"score":0.768447756767273},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6770151853561401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6509556174278259},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.5980141758918762},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5962972640991211},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5947521924972534},{"id":"https://openalex.org/C2780378346","wikidata":"https://www.wikidata.org/wiki/Q1349983","display_name":"Leak","level":2,"score":0.5907254815101624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5884804129600525},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.554877758026123},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29190629720687866},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.05526414513587952},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1149/10701.4281ecst","doi":"https://doi.org/10.1149/10701.4281ecst","is_oa":false,"landing_page_url":"https://doi.org/10.1149/10701.4281ecst","pdf_url":null,"source":{"id":"https://openalex.org/S4210205149","display_name":"ECS Transactions","issn_l":"1938-5862","issn":["1938-5862","1938-6737","2151-2051"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1","poland-20"],"host_organization":"https://openalex.org/P4310311669","host_organization_name":"Institute of Physics","host_organization_lineage":["https://openalex.org/P4310311669"],"host_organization_lineage_names":["Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECS Transactions","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.651199996471405,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2088018046","https://openalex.org/W3047716589","https://openalex.org/W3106112785"],"related_works":["https://openalex.org/W4410824401","https://openalex.org/W2114470142","https://openalex.org/W2384160058","https://openalex.org/W6989430273","https://openalex.org/W1535139156","https://openalex.org/W1568942855","https://openalex.org/W1992151643","https://openalex.org/W4409330887","https://openalex.org/W7097063519","https://openalex.org/W4414793587"],"abstract_inverted_index":{"In":[0],"process":[1],"industries,":[2],"leakage":[3],"in":[4,26,94],"pipelines":[5],"is":[6,76,86,115],"common":[7,127],"and":[8,12,52,65,84,103],"an":[9,116],"environmental,":[10],"health":[11],"economic":[13],"issue":[14],"to":[15,63,119],"be":[16,46],"addressed":[17],"without":[18],"fail.":[19],"To":[20],"detect":[21],"the":[22,39,126],"presence":[23],"of":[24,90],"leaks":[25],"pipelines,":[27],"there":[28],"are":[29,36,112],"several":[30,97],"conventional":[31,41,99],"leak":[32,42,82,100,109,121,133],"detection":[33,43,83,101,110,122,134],"techniques":[34,44,123],"that":[35,75],"available.":[37],"From":[38],"literature,":[40],"can":[45],"mainly":[47],"classified":[48],"into:":[49],"hardware-based,":[50],"visual":[51],"software-based":[53,60,69],"methods.":[54],"Researchers":[55],"have":[56],"focused":[57],"more":[58],"on":[59],"methods":[61,102,111],"due":[62],"simple":[64],"reliable":[66],"operation.":[67],"Under":[68],"methods,":[70],"using":[71,136],"machine":[72],"learning":[73,91,107],"algorithms":[74],"a":[77,132],"data":[78],"driven":[79],"approach":[80],"for":[81,130],"localization":[85],"becoming":[87],"popular":[88],"because":[89],"capabilities.":[92],"Therefore,":[93],"this":[95],"review,":[96],"recent":[98],"artificial":[104,137],"neural":[105,138],"networks/machine":[106,139],"based":[108],"described.":[113],"It":[114],"attempt":[117],"made":[118],"identify":[120],"along":[124],"with":[125],"methodology":[128],"followed":[129],"building":[131],"system":[135],"learning.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2021-10-11T00:00:00"}
