{"id":"https://openalex.org/W4415068561","doi":"https://doi.org/10.1177/01423312251352885","title":"Hybrid SE-attention-CNN-LSTM network for hydraulic turbine water guide bearing temperature prediction in hydropower generation station","display_name":"Hybrid SE-attention-CNN-LSTM network for hydraulic turbine water guide bearing temperature prediction in hydropower generation station","publication_year":2025,"publication_date":"2025-08-17","ids":{"openalex":"https://openalex.org/W4415068561","doi":"https://doi.org/10.1177/01423312251352885"},"language":"en","primary_location":{"id":"doi:10.1177/01423312251352885","is_oa":true,"landing_page_url":"https://doi.org/10.1177/01423312251352885","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/01423312251352885?download=true","source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/01423312251352885?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068043315","display_name":"Yu Gong","orcid":"https://orcid.org/0009-0004-4362-8946"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Gong","raw_affiliation_strings":["School of Electric Power, South China University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0004-4362-8946","affiliations":[{"raw_affiliation_string":"School of Electric Power, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Wu","orcid":"https://orcid.org/0009-0009-2179-7526"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Branch Company of Maintenance &amp; Test, China Southern Power Grid Energy Storage Co., Ltd., China"],"raw_orcid":"https://orcid.org/0009-0009-2179-7526","affiliations":[{"raw_affiliation_string":"Branch Company of Maintenance &amp; Test, China Southern Power Grid Energy Storage Co., Ltd., China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075364512","display_name":"Junhuang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097777","display_name":"China General Nuclear Power Corporation (China)","ror":"https://ror.org/00fpj7t66","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210097777"]},{"id":"https://openalex.org/I4210150595","display_name":"Guangzhou Electronic Technology (China)","ror":"https://ror.org/03rq35s79","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210150595"]},{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhuang Zhou","raw_affiliation_strings":["Guangzhou Power Electrical Technology Co., Ltd., China"],"raw_orcid":"https://orcid.org/0009-0007-5188-6672","affiliations":[{"raw_affiliation_string":"Guangzhou Power Electrical Technology Co., Ltd., China","institution_ids":["https://openalex.org/I4210150595","https://openalex.org/I4210097777","https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081573912","display_name":"Langwen Zhang","orcid":"https://orcid.org/0000-0002-1024-1399"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Langwen Zhang","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-1024-1399","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325605","display_name":"Yongjun Zhang","orcid":"https://orcid.org/0000-0002-1135-6788"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Zhang","raw_affiliation_strings":["School of Electric Power, South China University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-1135-6788","affiliations":[{"raw_affiliation_string":"School of Electric Power, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081573912"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.6142,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68459345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"48","issue":"10","first_page":"2508","last_page":"2517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11202","display_name":"Cavitation Phenomena in Pumps","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T11202","display_name":"Cavitation Phenomena in Pumps","score":0.9952999949455261,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9659000039100647,"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/hydropower","display_name":"Hydropower","score":0.6988999843597412},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6223000288009644},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.6086999773979187},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.5807999968528748},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5074999928474426},{"id":"https://openalex.org/keywords/water-turbine","display_name":"Water turbine","score":0.45320001244544983},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4523000121116638},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4180999994277954}],"concepts":[{"id":"https://openalex.org/C40675005","wikidata":"https://www.wikidata.org/wiki/Q170196","display_name":"Hydropower","level":2,"score":0.6988999843597412},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6223000288009644},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.6086999773979187},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.5807999968528748},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5074999928474426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4790000021457672},{"id":"https://openalex.org/C2780778756","wikidata":"https://www.wikidata.org/wiki/Q644997","display_name":"Water turbine","level":2,"score":0.45320001244544983},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C2988713318","wikidata":"https://www.wikidata.org/wiki/Q644997","display_name":"Hydraulic turbines","level":3,"score":0.39250001311302185},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C72293138","wikidata":"https://www.wikidata.org/wiki/Q909741","display_name":"Temperature measurement","level":2,"score":0.3750999867916107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36899998784065247},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C4311470","wikidata":"https://www.wikidata.org/wiki/Q159719","display_name":"Power station","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34209999442100525},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.336899995803833},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32199999690055847},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26600000262260437}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/01423312251352885","is_oa":true,"landing_page_url":"https://doi.org/10.1177/01423312251352885","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/01423312251352885?download=true","source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1177/01423312251352885","is_oa":true,"landing_page_url":"https://doi.org/10.1177/01423312251352885","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/01423312251352885?download=true","source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415068561.pdf","grobid_xml":"https://content.openalex.org/works/W4415068561.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2604870111","https://openalex.org/W2948490758","https://openalex.org/W2986815055","https://openalex.org/W3004417816","https://openalex.org/W3034681889","https://openalex.org/W3037018932","https://openalex.org/W3096710383","https://openalex.org/W3160936371","https://openalex.org/W3205977913","https://openalex.org/W4206229320","https://openalex.org/W4224220262","https://openalex.org/W4285262293","https://openalex.org/W4288038612","https://openalex.org/W4290647841","https://openalex.org/W4322490675","https://openalex.org/W4361214539","https://openalex.org/W4361275400","https://openalex.org/W4363675548","https://openalex.org/W4366982688","https://openalex.org/W4367299897","https://openalex.org/W4385650192","https://openalex.org/W4387762664","https://openalex.org/W4388297001","https://openalex.org/W4388694294","https://openalex.org/W4393944051","https://openalex.org/W4398174014","https://openalex.org/W4401432848","https://openalex.org/W4401495822","https://openalex.org/W4401894611","https://openalex.org/W4402760347","https://openalex.org/W4403303984"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,125,156,166],"of":[2,9,20,55,104,126,160],"the":[3,21,36,53,101,116,120,127,150],"water":[4,25,128],"turbine":[5,26],"bearing":[6,27,131],"temperature":[7,28,79,88,108],"is":[8,30,71,91,113],"great":[10],"significance":[11],"to":[12,35,73,83,98,118],"ensure":[13],"safe":[14],"operation":[15],"and":[16,41,65,168],"improve":[17],"economic":[18],"benefits":[19],"hydropower":[22],"station.":[23,145],"The":[24],"forecasting":[29,49],"a":[31,46,95,142],"challenging":[32],"problem":[33],"due":[34],"running":[37],"data":[38,82,140],"being":[39],"nonlinear":[40],"non-stationary.":[42],"This":[43],"work":[44],"proposes":[45],"hybrid":[47],"SE-CNN-LSTM":[48,121,152],"model":[50,100,153],"by":[51,93,136],"integrating":[52],"advantages":[54],"convolutional":[56],"neural":[57],"Networks":[58],"(CNN),":[59],"long":[60],"short-term":[61,85],"memory":[62],"(LSTM)":[63],"networks":[64],"squeeze-and-excitation":[66],"(SE)":[67],"attention":[68,111],"mechanism.":[69],"CNN":[70],"designed":[72,92],"extract":[74],"local":[75],"features":[76],"from":[77,141],"raw":[78],"time":[80],"series":[81],"capture":[84],"dependencies":[86],"in":[87,107,158],"data.":[89,109],"LSTM":[90],"incorporating":[94],"state-space":[96],"representation":[97],"better":[99],"dynamic":[102],"characteristics":[103],"long-term":[105],"correlations":[106],"SE":[110],"mechanism":[112],"integrated":[114],"into":[115],"CNN-LSTM":[117],"form":[119],"network":[122],"for":[123],"accurate":[124],"turbine\u2019s":[129],"guide":[130],"temperature.":[132],"Experiments":[133],"are":[134],"conducted":[135],"using":[137],"real":[138],"operational":[139],"pumped-storage":[143],"power":[144],"Experimental":[146],"results":[147],"demonstrated":[148],"that":[149],"proposed":[151],"outperforms":[154],"traditional":[155],"methods":[157],"terms":[159],"multiple":[161],"evaluation":[162],"metrics,":[163],"exhibiting":[164],"superior":[165],"accuracy":[167],"robustness.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-11T00:00:00"}
