乐胖代购免代理版

{"id":"https://openalex.org/W4290999104","doi":"https://doi.org/10.1016/j.eswa.2022.118382","title":"Passive learning to address nonstationarity in virtual flow metering applications","display_name":"Passive learning to address nonstationarity in virtual flow metering applications","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290999104","doi":"https://doi.org/10.1016/j.eswa.2022.118382"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2022.118382","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.eswa.2022.118382","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025392046","display_name":"Mathilde Hotvedt","orcid":"https://orcid.org/0000-0003-3367-4215"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]},{"id":"https://openalex.org/I4210156049","display_name":"Solution Seeker (Norway)","ror":"https://ror.org/056zqys57","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210156049"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Mathilde Hotvedt","raw_affiliation_strings":["Norwegian University of Science and Technology, Department of Engineering Cybernetics, O. S. Bragstads plass 2D, Elektroblokk D, 7034 Trondheim, Norway","Solution Seeker AS, R\u00e5dhusgata 24, 0151 Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology, Department of Engineering Cybernetics, O. S. Bragstads plass 2D, Elektroblokk D, 7034 Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Solution Seeker AS, R\u00e5dhusgata 24, 0151 Oslo, Norway","institution_ids":["https://openalex.org/I4210156049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050792942","display_name":"Bjarne Grimstad","orcid":"https://orcid.org/0000-0002-3197-6968"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]},{"id":"https://openalex.org/I4210156049","display_name":"Solution Seeker (Norway)","ror":"https://ror.org/056zqys57","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210156049"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Bjarne A. Grimstad","raw_affiliation_strings":["Norwegian University of Science and Technology, Department of Engineering Cybernetics, O. S. Bragstads plass 2D, Elektroblokk D, 7034 Trondheim, Norway","Solution Seeker AS, R\u00e5dhusgata 24, 0151 Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology, Department of Engineering Cybernetics, O. S. Bragstads plass 2D, Elektroblokk D, 7034 Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Solution Seeker AS, R\u00e5dhusgata 24, 0151 Oslo, Norway","institution_ids":["https://openalex.org/I4210156049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066830226","display_name":"Lars Imsland","orcid":"https://orcid.org/0000-0001-7615-774X"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Lars S. Imsland","raw_affiliation_strings":["Norwegian University of Science and Technology, Department of Engineering Cybernetics, O. S. Bragstads plass 2D, Elektroblokk D, 7034 Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology, Department of Engineering Cybernetics, O. S. Bragstads plass 2D, Elektroblokk D, 7034 Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025392046"],"corresponding_institution_ids":["https://openalex.org/I204778367","https://openalex.org/I4210156049"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220,"provenance":"doaj"},"apc_paid":{"value":3220,"currency":"USD","value_usd":3220,"provenance":"doaj"},"fwci":0.692,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.541206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":82},"biblio":{"volume":"210","issue":null,"first_page":"118382","last_page":"118382"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9966,"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":0.9966,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9944,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11220","display_name":"Water Systems and Optimization","score":0.988,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metering-mode","display_name":"Metering mode","score":0.66204363},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.41884246},{"id":"https://openalex.org/keywords/learning-curve","display_name":"Learning curve","score":0.41584235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8053074},{"id":"https://openalex.org/C30905978","wikidata":"https://www.wikidata.org/wiki/Q815598","display_name":"Metering mode","level":2,"score":0.66204363},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.62523544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.52564895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4860397},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4637108},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.43853465},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.41884246},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.41584235},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36608478},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33128095},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11770812},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08846724},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2022.118382","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3058099","pdf_url":"https://ntnuopen.ntnu.no/ntnu-xmlui/bitstream/11250/3058099/4/Hotvedt.pdf","source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":["University of Oslo"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2202.03236","pdf_url":"https://arxiv.org/pdf/2202.03236","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2022.118382","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.62}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":38,"referenced_works":["https://openalex.org/W1524609463","https://openalex.org/W1677182931","https://openalex.org/W1904826605","https://openalex.org/W2040100614","https://openalex.org/W2060592823","https://openalex.org/W2070605434","https://openalex.org/W2077508905","https://openalex.org/W2078807884","https://openalex.org/W2101234009","https://openalex.org/W2143386621","https://openalex.org/W2162651021","https://openalex.org/W2333277326","https://openalex.org/W2469497343","https://openalex.org/W2512302757","https://openalex.org/W2594639291","https://openalex.org/W2605055938","https://openalex.org/W2624878881","https://openalex.org/W2743151379","https://openalex.org/W2761875308","https://openalex.org/W2766037733","https://openalex.org/W2767312366","https://openalex.org/W2772634419","https://openalex.org/W2788388592","https://openalex.org/W2955340810","https://openalex.org/W2964067969","https://openalex.org/W2996304749","https://openalex.org/W3003852442","https://openalex.org/W3005413839","https://openalex.org/W3016895690","https://openalex.org/W3117732367","https://openalex.org/W3191298564","https://openalex.org/W3192857914","https://openalex.org/W3196919253","https://openalex.org/W3197881768","https://openalex.org/W3213664870","https://openalex.org/W4214736747","https://openalex.org/W4248564343","https://openalex.org/W4298304654"],"related_works":["https://openalex.org/W4390813131","https://openalex.org/W4384112194","https://openalex.org/W4328132048","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W2783354812","https://openalex.org/W2349383066","https://openalex.org/W2103009189","https://openalex.org/W1999680554","https://openalex.org/W1969901537"],"abstract_inverted_index":{"Steady-state":[0],"process":[1,41],"models":[2,28,99],"are":[3,114,134,146],"common":[4],"in":[5,101,149,167,178],"virtual":[6,61,122,208],"flow":[7,62,123,209],"meter":[8],"applications":[9],"due":[10,33],"to":[11,34,54,75,81,120,132,180,188,199],"low":[12,16],"computational":[13],"complexity,":[14],"and":[15,19,84,111,172],"model":[17,71,127,157],"development":[18],"maintenance":[20],"cost.":[21],"Nevertheless,":[22],"the":[23,35,39,56,70,102,150,168,181,190],"prediction":[24,57,162],"performance":[25,163,191],"of":[26,38,59,152,170,183,197],"steady-state":[27,60],"typically":[29],"degrades":[30],"with":[31,90,98,116],"time":[32],"inherent":[36],"nonstationarity":[37,83],"underlying":[40],"being":[42],"modeled.":[43],"Few":[44],"studies":[45],"have":[46],"investigated":[47],"how":[48],"learning":[49,92,106,110],"methods":[50],"can":[51],"be":[52,196],"applied":[53,115],"sustain":[55],"accuracy":[58],"meters.":[63,124,210],"This":[64],"paper":[65],"explores":[66],"passive":[67,91,105],"learning,":[68,113],"where":[69],"is":[72,93,96,186],"frequently":[73,153],"calibrated":[74],"new":[76],"data,":[77],"as":[78,207],"a":[79],"way":[80],"address":[82],"improve":[85],"long-term":[86],"performance.":[87],"An":[88],"advantage":[89],"that":[94],"it":[95],"compatible":[97],"used":[100],"industry.":[103],"Two":[104],"methods,":[107],"periodic":[108],"batch":[109],"online":[112],"varying":[117],"calibration":[118],"frequency":[119],"train":[121],"Six":[125],"different":[126],"types,":[128],"ranging":[129],"from":[130,140],"data-driven":[131],"first-principles,":[133],"trained":[135],"on":[136],"historical":[137],"production":[138],"data":[139],"10":[141],"petroleum":[142],"wells.":[143],"The":[144,193],"results":[145],"two-fold:":[147],"first,":[148],"presence":[151,169],"arriving":[154,174],"measurements,":[155,175],"frequent":[156,176],"updating":[158,177],"sustains":[159],"an":[160],"excellent":[161],"over":[164],"time;":[165],"second,":[166],"intermittent":[171],"infrequently":[173],"addition":[179],"utilization":[182],"expert":[184],"knowledge":[185],"essential":[187],"increase":[189],"accuracy.":[192],"investigation":[194],"may":[195],"interest":[198],"experts":[200],"developing":[201],"soft-sensors":[202],"for":[203],"nonstationary":[204],"processes,":[205],"such":[206]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4290999104","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-01-16T03:10:53.970137","created_date":"2022-08-13"}