{"id":"https://openalex.org/W4285801947","doi":"https://doi.org/10.1186/s13638-022-02148-w","title":"TN-GTN: fault diagnosis of aircraft wiring network over edge computing","display_name":"TN-GTN: fault diagnosis of aircraft wiring network over edge computing","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4285801947","doi":"https://doi.org/10.1186/s13638-022-02148-w"},"language":"en","primary_location":{"id":"doi:10.1186/s13638-022-02148-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-022-02148-w","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-022-02148-w","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-022-02148-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100428385","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0001-8427-4495"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["School of Mechanical Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012925910","display_name":"Qiang Fang","orcid":"https://orcid.org/0000-0002-3549-5600"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Fang","raw_affiliation_strings":["School of Mechanical Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001227630","display_name":"Gongping Liu","orcid":"https://orcid.org/0000-0002-3859-1278"},"institutions":[{"id":"https://openalex.org/I4210094459","display_name":"Craft Group (China)","ror":"https://ror.org/00gxm5663","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210094459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongping Liu","raw_affiliation_strings":["AVIC Xi\u2019an Aircraft Industry Group Company Ltd, No.1 Xifei Avenue, Xi\u2019an, 710089, Shaanxi, China","AVIC Xi'an Aircraft Industry Group Company Ltd, No.1 Xifei Avenue, Xi'an, 710089, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AVIC Xi\u2019an Aircraft Industry Group Company Ltd, No.1 Xifei Avenue, Xi\u2019an, 710089, Shaanxi, China","institution_ids":["https://openalex.org/I4210094459"]},{"raw_affiliation_string":"AVIC Xi'an Aircraft Industry Group Company Ltd, No.1 Xifei Avenue, Xi'an, 710089, Shaanxi, China","institution_ids":["https://openalex.org/I4210094459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087792290","display_name":"Meng Chi","orcid":"https://orcid.org/0000-0002-3097-5293"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Chi","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-3097-5293","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007251565","display_name":"Yuanqi Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094459","display_name":"Craft Group (China)","ror":"https://ror.org/00gxm5663","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210094459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqi Luo","raw_affiliation_strings":["AVIC Xi\u2019an Aircraft Industry Group Company Ltd, No.1 Xifei Avenue, Xi\u2019an, 710089, Shaanxi, China","AVIC Xi'an Aircraft Industry Group Company Ltd, No.1 Xifei Avenue, Xi'an, 710089, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AVIC Xi\u2019an Aircraft Industry Group Company Ltd, No.1 Xifei Avenue, Xi\u2019an, 710089, Shaanxi, China","institution_ids":["https://openalex.org/I4210094459"]},{"raw_affiliation_string":"AVIC Xi'an Aircraft Industry Group Company Ltd, No.1 Xifei Avenue, Xi'an, 710089, Shaanxi, China","institution_ids":["https://openalex.org/I4210094459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101453334","display_name":"Jianming Shen","orcid":"https://orcid.org/0000-0002-2317-7381"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianming Shen","raw_affiliation_strings":["Company of AVIC Shenyang Aircraft Corporation, 1 Lingbei Road, Shenyang, 110034, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Company of AVIC Shenyang Aircraft Corporation, 1 Lingbei Road, Shenyang, 110034, Liaoning, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087792290"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.2775,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62278587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2022","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8031201362609863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5490394830703735},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4830184876918793},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47305765748023987},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4667907655239105},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45242393016815186},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4504025876522064},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4115350842475891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4102144241333008},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36170947551727295},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21627184748649597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8031201362609863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5490394830703735},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4830184876918793},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47305765748023987},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4667907655239105},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45242393016815186},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4504025876522064},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4115350842475891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4102144241333008},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36170947551727295},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21627184748649597},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13638-022-02148-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-022-02148-w","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-022-02148-w","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c87ab7c3466a49c685dbede2c8b0dab3","is_oa":true,"landing_page_url":"https://doaj.org/article/c87ab7c3466a49c685dbede2c8b0dab3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-19 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13638-022-02148-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-022-02148-w","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-022-02148-w","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2066559355","display_name":null,"funder_award_id":"JCKY2019205A003","funder_id":"https://openalex.org/F4320335833","funder_display_name":"National Defense Basic Scientific Research Program of China"}],"funders":[{"id":"https://openalex.org/F4320335833","display_name":"National Defense Basic Scientific Research Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285801947.pdf","grobid_xml":"https://content.openalex.org/works/W4285801947.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W2040514941","https://openalex.org/W2049137142","https://openalex.org/W2053264424","https://openalex.org/W2089818650","https://openalex.org/W2106922081","https://openalex.org/W2109365051","https://openalex.org/W2154611593","https://openalex.org/W2170603530","https://openalex.org/W2604314403","https://openalex.org/W2743104969","https://openalex.org/W2809418595","https://openalex.org/W2899831870","https://openalex.org/W2963707260","https://openalex.org/W2963919031","https://openalex.org/W2964113829","https://openalex.org/W3013764451","https://openalex.org/W3089727447","https://openalex.org/W3092125438","https://openalex.org/W3096095227","https://openalex.org/W3107486494","https://openalex.org/W3134251890","https://openalex.org/W3194220893","https://openalex.org/W3211851149","https://openalex.org/W3214181042","https://openalex.org/W4220971618","https://openalex.org/W4225526013","https://openalex.org/W4226069575","https://openalex.org/W4285130686","https://openalex.org/W6767098714"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W2027854990","https://openalex.org/W2370081953","https://openalex.org/W2052899165","https://openalex.org/W2364428742"],"abstract_inverted_index":{"Abstract":[0],"Fault":[1],"diagnosis":[2,88,101,178],"of":[3,16,44,72,115,157,175],"the":[4,13,17,23,35,42,45,49,53,64,70,73,99,112,148,152,158,165,176],"aircraft":[5,180],"wiring":[6,181],"network":[7,94,120],"plays":[8],"an":[9,172],"important":[10],"role":[11],"in":[12,33],"intelligent":[14],"manufacture":[15],"aircraft.":[18],"Many":[19],"studies":[20],"focus":[21],"on":[22,37,111,138,167,179],"feature-based":[24],"machine":[25],"learning":[26],"methods.":[27],"However,":[28],"these":[29,59],"methods":[30],"are":[31,144],"improper":[32],"handling":[34],"data":[36],"heterogeneous":[38,116],"graphs.":[39,117,140],"Due":[40],"to":[41,63,123,146],"scatter":[43],"valid":[46],"feature":[47,104],"information,":[48],"relevant":[50],"information":[51,114],"between":[52,135],"test":[54,142],"nodes":[55,137,143],"is":[56,109,121],"ignored":[57],"by":[58,128,151],"methods,":[60],"which":[61,108],"leads":[62],"low":[65],"accuracy":[66,102],"fault":[67,87,100,177],"diagnosis.":[68],"Taking":[69],"advantage":[71],"5G":[74],"technology":[75],"that":[76,162],"can":[77,97],"remotely":[78],"process":[79],"large-scale":[80],"graph":[81,119,126],"data,":[82],"this":[83],"work":[84],"proposes":[85],"a":[86],"method":[89],"named":[90],"\u201ctopological":[91],"network-graph":[92],"transformer":[93],"(TN-GTN).\u201d":[95],"TN-GTN":[96,163],"improve":[98],"through":[103],"enhancement":[105],"and":[106,132,170],"classification,":[107],"based":[110],"topological":[113],"The":[118],"able":[122],"learn":[124],"new":[125],"structures":[127],"identifying":[129],"useful":[130],"meta-paths":[131],"multi-hop":[133],"connections":[134],"unconnected":[136],"original":[139],"Feature-enhanced":[141],"used":[145],"classify":[147],"final":[149],"labels":[150],"artificial":[153],"neural":[154],"network.":[155,182],"Results":[156],"performed":[159],"experiment":[160],"showed":[161],"reduced":[164],"dependence":[166],"domain":[168],"knowledge":[169],"achieved":[171],"accurate":[173],"classification":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
