{"id":"https://openalex.org/W2981037163","doi":"https://doi.org/10.1109/access.2019.2947194","title":"A Generative Adversarial Network-Based Intelligent Fault Diagnosis Method for Rotating Machinery Under Small Sample Size Conditions","display_name":"A Generative Adversarial Network-Based Intelligent Fault Diagnosis Method for Rotating Machinery Under Small Sample Size Conditions","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2981037163","doi":"https://doi.org/10.1109/access.2019.2947194","mag":"2981037163"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2947194","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2947194","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08867875.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08867875.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016826981","display_name":"Yu Ding","orcid":"https://orcid.org/0000-0002-1053-8475"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Ding","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1053-8475","affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733563","display_name":"Liang Ma","orcid":"https://orcid.org/0000-0002-1437-4500"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Ma","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1437-4500","affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101980392","display_name":"Jian Ma","orcid":"https://orcid.org/0000-0001-5932-469X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Ma","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406973","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0002-3262-653X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605099","display_name":"Chen L\u00fc","orcid":"https://orcid.org/0000-0003-1927-2391"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Lu","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1927-2391","affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.0817,"has_fulltext":true,"cited_by_count":107,"citation_normalized_percentile":{"value":0.97486678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"149736","last_page":"149749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9843000173568726,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9682000279426575,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/computer-science","display_name":"Computer science","score":0.7765645384788513},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6103183031082153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6041115522384644},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5104414224624634},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5062977075576782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4787980020046234},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4712550938129425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45017147064208984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4214499890804291},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07561060786247253},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07208704948425293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7765645384788513},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6103183031082153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6041115522384644},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5104414224624634},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5062977075576782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4787980020046234},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4712550938129425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45017147064208984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4214499890804291},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07561060786247253},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07208704948425293},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2947194","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2947194","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08867875.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:76624ad4fc0e4f5295f4539da5702975","is_oa":true,"landing_page_url":"https://doaj.org/article/76624ad4fc0e4f5295f4539da5702975","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":"IEEE Access, Vol 7, Pp 149736-149749 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2947194","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2947194","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08867875.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1145754863","display_name":null,"funder_award_id":"ZG140S1993","funder_id":"https://openalex.org/F4320321392","funder_display_name":"Northwestern Polytechnical University"},{"id":"https://openalex.org/G1976473598","display_name":null,"funder_award_id":"2019M650438","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4978194864","display_name":null,"funder_award_id":"61803013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5059005692","display_name":null,"funder_award_id":"61903015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G571898596","display_name":null,"funder_award_id":"61973011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8003294266","display_name":null,"funder_award_id":"ZG140S1993","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321392","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2981037163.pdf","grobid_xml":"https://content.openalex.org/works/W2981037163.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1980438367","https://openalex.org/W1988220963","https://openalex.org/W2005934359","https://openalex.org/W2021497603","https://openalex.org/W2023380651","https://openalex.org/W2031312109","https://openalex.org/W2033559712","https://openalex.org/W2040070030","https://openalex.org/W2057361254","https://openalex.org/W2063259276","https://openalex.org/W2087864780","https://openalex.org/W2117130368","https://openalex.org/W2156530876","https://openalex.org/W2160987092","https://openalex.org/W2163605009","https://openalex.org/W2293873019","https://openalex.org/W2480364715","https://openalex.org/W2485614840","https://openalex.org/W2549144957","https://openalex.org/W2782742812","https://openalex.org/W2803978172","https://openalex.org/W2907407379","https://openalex.org/W2950776302","https://openalex.org/W2963684088","https://openalex.org/W4320013936","https://openalex.org/W6684191040","https://openalex.org/W6685352114","https://openalex.org/W6729482032","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W4388813866","https://openalex.org/W2999104021","https://openalex.org/W4293088233","https://openalex.org/W2850804095","https://openalex.org/W1481656249","https://openalex.org/W2162280767","https://openalex.org/W1570799877","https://openalex.org/W2800688113","https://openalex.org/W4236933217","https://openalex.org/W2057598446"],"abstract_inverted_index":{"Rotating":[0],"machinery":[1,15,139],"plays":[2],"a":[3,17,57,111,116],"key":[4],"role":[5],"in":[6,107,192,222],"mechanical":[7],"equipment,":[8],"and":[9,37,85,125,150,161,169,186,204],"the":[10,23,72,82,102,153,172,177,193,202,210],"fault":[11,92,134,216],"diagnosis":[12,32,51,93,127,135,200,206],"of":[13,60,74,152,171,198],"rotating":[14,138],"is":[16,68,100],"popular":[18],"research":[19],"topic.":[20],"To":[21,120],"overcome":[22],"dependency":[24],"on":[25,56,141],"expert":[26],"knowledge":[27],"regarding":[28],"conventional":[29],"time-frequency":[30],"analysis":[31],"methods,":[33,201],"machine":[34],"learning":[35],"(ML)":[36],"artificial":[38],"intelligence":[39],"(AI)-based":[40],"methods":[41,47],"are":[42,54,79,156,174,190,231],"commonly":[43],"studied.":[44],"Although":[45],"these":[46,165],"can":[48,87,213],"achieve":[49,115,121],"high-accuracy":[50,203],"results,":[52],"they":[53],"based":[55,140],"large":[58],"number":[59],"training":[61,97,178,229],"samples.":[62],"A":[63],"generative":[64],"adversarial":[65],"network":[66],"(GAN)":[67],"an":[69,132,223],"algorithm":[70],"with":[71,95,182,196],"capability":[73],"generating":[75],"realistic":[76],"samples":[77,173,230],"that":[78,209],"similar":[80],"to":[81,90],"real":[83],"samples,":[84],"it":[86],"be":[88],"applied":[89],"solve":[91],"problems":[94],"insufficient":[96],"data,":[98],"which":[99],"called":[101],"small":[103,144],"sample":[104,145],"size":[105,146],"condition":[106],"this":[108,129],"study.":[109],"However,":[110],"single-GAN":[112],"model":[113],"cannot":[114],"good":[117],"diagnostic":[118],"result.":[119],"adaptive":[122,224],"feature":[123],"extraction":[124],"high":[126],"accuracy,":[128],"study":[130],"proposes":[131],"intelligent":[133],"method":[136,155,212],"for":[137],"GANs":[142],"under":[143,218],"conditions.":[147],"The":[148],"effectiveness":[149],"performance":[151],"proposed":[154,211],"validated":[157],"using":[158],"rolling":[159],"bearing":[160],"gearbox":[162],"datasets.":[163,194],"In":[164],"datasets,":[166],"only":[167],"10%":[168],"20%":[170],"selected":[175],"as":[176],"data.":[179],"Samples":[180],"associated":[181],"different":[183,219],"health":[184],"conditions":[185,189,221],"various":[187],"working":[188,220],"included":[191],"Compared":[195],"those":[197],"other":[199],"low-volatility":[205],"results":[207],"indicate":[208],"stably":[214],"distinguish":[215],"modes":[217],"way,":[225],"even":[226],"though":[227],"few":[228],"available.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
