{"id":"https://openalex.org/W2317595875","doi":"https://doi.org/10.1109/tie.2016.2519325","title":"An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data","display_name":"An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data","publication_year":2016,"publication_date":"2016-01-19","ids":{"openalex":"https://openalex.org/W2317595875","doi":"https://doi.org/10.1109/tie.2016.2519325","mag":"2317595875"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2016.2519325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2016.2519325","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","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/A5008554873","display_name":"Yaguo Lei","orcid":"https://orcid.org/0000-0002-5167-1459"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaguo Lei","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081893651","display_name":"Feng Jia","orcid":"https://orcid.org/0000-0001-8467-4413"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Jia","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754192","display_name":"Jing Lin","orcid":"https://orcid.org/0000-0002-7670-1482"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lin","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110591166","display_name":"Saibo Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saibo Xing","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046071840","display_name":"Steven X. Ding","orcid":"https://orcid.org/0000-0002-5149-5918"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steven X. Ding","raw_affiliation_strings":["Institute of Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008554873"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":82.868,"has_fulltext":false,"cited_by_count":1166,"citation_normalized_percentile":{"value":0.99993668,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"63","issue":"5","first_page":"3137","last_page":"3147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9821000099182129,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7627931833267212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7334708571434021},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.6889435648918152},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5577916502952576},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5497600436210632},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5495431423187256},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5449697971343994},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5396800637245178},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4595898389816284},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45443931221961975},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4155799150466919},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41162121295928955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40361666679382324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26690220832824707}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7627931833267212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334708571434021},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.6889435648918152},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5577916502952576},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5497600436210632},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5495431423187256},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5449697971343994},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5396800637245178},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4595898389816284},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45443931221961975},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4155799150466919},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41162121295928955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40361666679382324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26690220832824707},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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":1,"locations":[{"id":"doi:10.1109/tie.2016.2519325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2016.2519325","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G2320743339","display_name":null,"funder_award_id":"51421004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3229652625","display_name":null,"funder_award_id":"51475355","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3509757524","display_name":null,"funder_award_id":"51222503","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4069261976","display_name":null,"funder_award_id":"2012jdgz01","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G444194238","display_name":null,"funder_award_id":"XTD2014001","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W172260869","https://openalex.org/W1515412672","https://openalex.org/W1533943577","https://openalex.org/W1605077306","https://openalex.org/W1635979774","https://openalex.org/W1967352108","https://openalex.org/W1968987968","https://openalex.org/W1977230515","https://openalex.org/W1982878030","https://openalex.org/W1984020445","https://openalex.org/W1998092191","https://openalex.org/W2002106843","https://openalex.org/W2004362043","https://openalex.org/W2013124207","https://openalex.org/W2020719522","https://openalex.org/W2026039230","https://openalex.org/W2032549039","https://openalex.org/W2035941890","https://openalex.org/W2040070030","https://openalex.org/W2040263621","https://openalex.org/W2049550263","https://openalex.org/W2053741029","https://openalex.org/W2055062507","https://openalex.org/W2058514560","https://openalex.org/W2058983449","https://openalex.org/W2074199507","https://openalex.org/W2077942936","https://openalex.org/W2078686603","https://openalex.org/W2085927826","https://openalex.org/W2089815405","https://openalex.org/W2095307887","https://openalex.org/W2100449221","https://openalex.org/W2100495367","https://openalex.org/W2104266187","https://openalex.org/W2106849258","https://openalex.org/W2112869498","https://openalex.org/W2118858186","https://openalex.org/W2123649031","https://openalex.org/W2125621954","https://openalex.org/W2130946520","https://openalex.org/W2132037657","https://openalex.org/W2133285226","https://openalex.org/W2139427956","https://openalex.org/W2158958729","https://openalex.org/W2160815625","https://openalex.org/W2163922914","https://openalex.org/W2170614103","https://openalex.org/W2295125894","https://openalex.org/W2338514232","https://openalex.org/W2462002524","https://openalex.org/W2919115771","https://openalex.org/W4240046814","https://openalex.org/W6601785968","https://openalex.org/W6677919164","https://openalex.org/W6697212559"],"related_works":["https://openalex.org/W3047363187","https://openalex.org/W2997424368","https://openalex.org/W3119773509","https://openalex.org/W3177373753","https://openalex.org/W3174759195","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W4308619659","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Intelligent":[0],"fault":[1,189],"diagnosis":[2,27,32,86,158,190],"is":[3,82,104,120,135,161],"a":[4,78,138,143],"promising":[5],"tool":[6],"to":[7,14,72,106,122,163],"deal":[8],"with":[9],"mechanical":[10,111],"big":[11,192],"data":[12,193],"due":[13],"its":[15],"ability":[16],"in":[17],"rapidly":[18],"and":[19,24,44,57,142,160,186],"efficiently":[20],"processing":[21],"collected":[22],"signals":[23],"providing":[25],"accurate":[26],"results.":[28],"In":[29,89,114],"traditional":[30],"intelligent":[31,85,188],"methods,":[33],"however,":[34],"the":[35,61,90,95,115,124,129,152,164,168,177,181],"features":[36,74,109,175],"are":[37,55],"manually":[38],"extracted":[39],"depending":[40],"on":[41,128],"prior":[42],"knowledge":[43],"diagnostic":[45],"expertise.":[46],"Such":[47],"processes":[48],"take":[49],"advantage":[50],"of":[51,63,87,94,173,183],"human":[52,184],"ingenuity":[53],"but":[54],"time-consuming":[56],"labor-intensive.":[58],"Inspired":[59],"by":[60,137],"idea":[62],"unsupervised":[64,100],"feature":[65],"learning":[66,80,92,174],"that":[67,151],"uses":[68],"artificial":[69],"intelligence":[70],"techniques":[71],"learn":[73,108],"from":[75,110],"raw":[76],"data,":[77],"two-stage":[79],"method":[81,134,154,179],"proposed":[83,133,153,178],"for":[84,167],"machines.":[88],"first":[91],"stage":[93],"method,":[96],"sparse":[97],"filtering,":[98],"an":[99],"two-layer":[101],"neural":[102],"network,":[103],"used":[105],"directly":[107],"vibration":[112],"signals.":[113],"second":[116],"stage,":[117],"softmax":[118],"regression":[119],"employed":[121],"classify":[123],"health":[125],"conditions":[126],"based":[127],"learned":[130],"features.":[131],"The":[132,148],"validated":[136],"motor":[139,169],"bearing":[140,145,170],"dataset":[141],"locomotive":[144],"dataset,":[146],"respectively.":[147],"results":[149],"show":[150],"obtains":[155],"fairly":[156],"high":[157],"accuracies":[159],"superior":[162],"existing":[165],"methods":[166],"dataset.":[171],"Because":[172],"adaptively,":[176],"reduces":[180],"need":[182],"labor":[185],"makes":[187],"handle":[191],"more":[194],"easily.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":23},{"year":2025,"cited_by_count":67},{"year":2024,"cited_by_count":89},{"year":2023,"cited_by_count":134},{"year":2022,"cited_by_count":169},{"year":2021,"cited_by_count":178},{"year":2020,"cited_by_count":199},{"year":2019,"cited_by_count":142},{"year":2018,"cited_by_count":96},{"year":2017,"cited_by_count":64},{"year":2016,"cited_by_count":5}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
