{"id":"https://openalex.org/W4285065958","doi":"https://doi.org/10.1109/tii.2022.3185077","title":"Sparse Local Fisher Discriminant Analysis for Gas-Water Two-Phase Flow Status Monitoring With Multisensor Signals","display_name":"Sparse Local Fisher Discriminant Analysis for Gas-Water Two-Phase Flow Status Monitoring With Multisensor Signals","publication_year":2022,"publication_date":"2022-06-21","ids":{"openalex":"https://openalex.org/W4285065958","doi":"https://doi.org/10.1109/tii.2022.3185077"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3185077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3185077","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"},"type":"article","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/A5101799093","display_name":"Wentao Wu","orcid":"https://orcid.org/0000-0001-7355-0765"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Wu","raw_affiliation_strings":["Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7355-0765","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068911557","display_name":"Chao Tan","orcid":"https://orcid.org/0000-0001-5146-4807"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Tan","raw_affiliation_strings":["Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5146-4807","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087981683","display_name":"Shumei Zhang","orcid":"https://orcid.org/0000-0002-9829-0776"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shumei Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-9829-0776","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025279788","display_name":"Feng Dong","orcid":"https://orcid.org/0000-0002-8478-8928"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Dong","raw_affiliation_strings":["Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8478-8928","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":2.2285,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87487851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"3","first_page":"2886","last_page":"2898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9995999932289124,"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":0.9995999932289124,"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/T12537","display_name":"Flow Measurement and Analysis","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10864","display_name":"Fluid Dynamics and Mixing","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6668869256973267},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.6258013248443604},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4813028872013092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4452204704284668},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.42185860872268677},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41708600521087646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3941804766654968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36081361770629883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3468804359436035},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2545681595802307}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6668869256973267},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.6258013248443604},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4813028872013092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4452204704284668},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.42185860872268677},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41708600521087646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3941804766654968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36081361770629883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3468804359436035},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2545681595802307},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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":1,"locations":[{"id":"doi:10.1109/tii.2022.3185077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3185077","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G1864427146","display_name":null,"funder_award_id":"51976137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2407567036","display_name":null,"funder_award_id":"19JCZDJC38900","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G2662514296","display_name":null,"funder_award_id":"20JCQNJC01670","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G4303063934","display_name":null,"funder_award_id":"61903272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2007090477","https://openalex.org/W2019316073","https://openalex.org/W2098815387","https://openalex.org/W2149414429","https://openalex.org/W2174631459","https://openalex.org/W2285341434","https://openalex.org/W2332933834","https://openalex.org/W2564226817","https://openalex.org/W2584665359","https://openalex.org/W2756109228","https://openalex.org/W2775523681","https://openalex.org/W2778901641","https://openalex.org/W2900881999","https://openalex.org/W2903628743","https://openalex.org/W2914298094","https://openalex.org/W2918050063","https://openalex.org/W2938752568","https://openalex.org/W2955033741","https://openalex.org/W2982961715","https://openalex.org/W2995114611","https://openalex.org/W3010625323","https://openalex.org/W3014771378","https://openalex.org/W3129573171","https://openalex.org/W3137332589","https://openalex.org/W3160042972","https://openalex.org/W3166834157","https://openalex.org/W3167293389","https://openalex.org/W3170229480","https://openalex.org/W3213811257","https://openalex.org/W6676189307"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W2156856390","https://openalex.org/W2104382484"],"abstract_inverted_index":{"Gas-water":[0],"two-phase":[1,29,225],"flow":[2,6,12,20,30,61,88,108,117,124,148,157,166,172,188,201,216,226],"has":[3],"typically":[4],"stable":[5],"statuses":[7,118,125,173],"and":[8,16,31,69,111,138,159,194,208,233],"constantly":[9],"changing":[10],"transition":[11],"statuses.":[13],"Accurate":[14],"identification":[15],"real-time":[17],"monitoring":[18,39,132,154,196],"of":[19,28,35,99,105,115,155,165,200,214,223,235],"status":[21,109,202],"are":[22,57,142],"conducive":[23],"to":[24,59,74,80,86,126,144,161],"the":[25,32,65,76,82,87,95,102,106,113,127,135,139,146,187,221,231,236],"in-depth":[26,209],"study":[27,199],"safe":[33],"operation":[34],"industrial":[36],"process.":[37,167,217],"A":[38],"strategy":[40],"based":[41],"on":[42,220],"sparse":[43,77],"local":[44],"Fisher":[45],"discriminant":[46,78,136,178],"analysis":[47,211],"(SLFDA)":[48],"is":[49,72],"proposed":[50],"in":[51,227],"this":[52],"article.":[53],"First,":[54],"multisensor":[55],"signals":[56,183],"obtained":[58],"reflect":[60],"process":[62,89,210],"information.":[63],"Second,":[64],"least":[66],"absolute":[67],"shrinkage":[68],"selection":[70],"operator":[71],"used":[73],"find":[75],"directions":[79],"determine":[81],"key":[83],"variables":[84],"relevant":[85],"from":[90],"multiple":[91],"sensor":[92],"signals.":[93],"Then,":[94],"weight":[96],"coefficient":[97],"matrixes":[98],"SLFDA":[100,168],"keep":[101],"original":[103],"structure":[104],"same":[107],"data":[110,114,222],"make":[112],"different":[116,123],"more":[119],"separated,":[120],"which":[121,150,190],"distinguish":[122],"maximum":[128],"extent.":[129],"Finally,":[130],"two":[131],"indexes":[133],"including":[134],"index":[137,141],"stability":[140],"established":[143],"analyze":[145],"dynamic":[147],"process,":[149],"enable":[151],"a":[152],"concurrent":[153],"both":[156],"evolution":[158],"instability":[160],"realize":[162],"fine-scale":[163],"description":[164],"can":[169],"monitor":[170],"various":[171],"through":[174],"only":[175],"one":[176],"projection":[177],"matrix":[179],"by":[180],"transforming":[181],"high-dimensional":[182],"into":[184],"features":[185,203],"representing":[186],"characteristics,":[189],"avoids":[191],"model":[192],"traversal":[193],"improves":[195],"efficiency.":[197],"Further":[198],"provides":[204],"meaningful":[205],"physical":[206],"interpretation":[207],"with":[212],"consideration":[213],"actual":[215],"The":[218],"application":[219],"gas-water":[224],"horizontal":[228],"pipe":[229],"demonstrates":[230],"feasibility":[232],"efficacy":[234],"method.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}