{"id":"https://openalex.org/W3006741535","doi":"https://doi.org/10.1109/icsai48974.2019.9010072","title":"Intelligent Fan System Based on Big Data and Artificial Intelligence","display_name":"Intelligent Fan System Based on Big Data and Artificial Intelligence","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3006741535","doi":"https://doi.org/10.1109/icsai48974.2019.9010072","mag":"3006741535"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"},"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/A5101430711","display_name":"Zhihe Yang","orcid":"https://orcid.org/0000-0003-4227-5590"},"institutions":[{"id":"https://openalex.org/I4210156189","display_name":"Shanghai Dianji University","ror":"https://ror.org/055fene14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihe Yang","raw_affiliation_strings":["Shanghai Dianji University, Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Dianji University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I4210156189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060908808","display_name":"Mingjie Lin","orcid":"https://orcid.org/0000-0002-3225-4406"},"institutions":[{"id":"https://openalex.org/I4210156189","display_name":"Shanghai Dianji University","ror":"https://ror.org/055fene14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie Lin","raw_affiliation_strings":["Shanghai Dianji University, Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Dianji University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I4210156189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210156189"],"apc_list":null,"apc_paid":null,"fwci":0.4387,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59287532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"19","issue":null,"first_page":"637","last_page":"642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9922999739646912,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9922999739646912,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9824000000953674,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9096999764442444,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6334140300750732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6195877194404602},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6181762218475342},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5614928603172302},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5574117302894592},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.5525423288345337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44773784279823303},{"id":"https://openalex.org/keywords/maintenance-engineering","display_name":"Maintenance engineering","score":0.43594467639923096},{"id":"https://openalex.org/keywords/intelligent-decision-support-system","display_name":"Intelligent decision support system","score":0.4258892238140106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41486966609954834},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41105732321739197},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32176148891448975},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.31887194514274597},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.31868141889572144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2450695037841797}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6334140300750732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6195877194404602},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6181762218475342},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5614928603172302},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5574117302894592},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.5525423288345337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44773784279823303},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.43594467639923096},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.4258892238140106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41486966609954834},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41105732321739197},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32176148891448975},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.31887194514274597},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31868141889572144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2450695037841797},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W899221011","https://openalex.org/W1965833531","https://openalex.org/W2050211799","https://openalex.org/W2051196068","https://openalex.org/W2070960910","https://openalex.org/W2110000683","https://openalex.org/W2795421054","https://openalex.org/W2803027714","https://openalex.org/W2888169683","https://openalex.org/W2914988706","https://openalex.org/W2921707507","https://openalex.org/W2936131980","https://openalex.org/W2936287033","https://openalex.org/W2945236662"],"related_works":["https://openalex.org/W1584123598","https://openalex.org/W2731305060","https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2372003537"],"abstract_inverted_index":{"Gearbox":[0],"is":[1,18,36,40,97,101],"an":[2,58],"important":[3],"component":[4],"of":[5,12,24,41,48,75,86,93,114,126],"doubly-fed":[6],"wind":[7],"turbines.":[8],"The":[9,99],"maintenance":[10,35],"cost":[11],"replacing":[13],"gearbox":[14,25],"after":[15],"serious":[16],"fault":[17],"very":[19],"high.":[20],"If":[21],"the":[22,46,72,82,90,111,118,123],"damage":[23],"can":[26],"be":[27],"detected":[28],"as":[29,31],"soon":[30],"possible":[32],"and":[33,51,66,84,128],"timely":[34],"carried":[37],"out,":[38],"it":[39],"great":[42],"significance":[43],"to":[44,133],"guide":[45],"operation":[47,95,124],"field":[49],"personnel":[50],"realize":[52],"intelligent":[53,59,91],"operation.":[54],"This":[55,69],"paper":[56],"presents":[57],"fan":[60,94,134],"system":[61,70,96],"based":[62],"on":[63],"large":[64],"data":[65,79],"artificial":[67,76],"intelligence.":[68],"introduces":[71],"modeling":[73],"method":[74],"intelligence":[77],"big":[78],"technology.":[80],"Through":[81],"integration":[83],"processing":[85],"multi-source":[87],"heterogeneous":[88],"data,":[89],"decision-making":[92,100,115],"formed.":[98],"made":[102],"by":[103,107],"machine":[104],"rather":[105],"than":[106],"human,":[108],"which":[109],"improves":[110,122],"prediction":[112],"accuracy":[113],"model,":[116],"reduces":[117],"false":[119],"alarm":[120],"rate,":[121],"efficiency":[125],"fan,":[127],"brings":[129],"real":[130],"economic":[131],"value":[132],"owners.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
