乐胖代购免代理版

{"id":"https://openalex.org/W2889052685","doi":"https://doi.org/10.1109/icphm.2018.8448775","title":"Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder","display_name":"Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2889052685","doi":"https://doi.org/10.1109/icphm.2018.8448775","mag":"2889052685"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2018.8448775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5033586311","display_name":"Wentao Mao","orcid":"https://orcid.org/0000-0001-5335-9517"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Mao","raw_affiliation_strings":["School of Computer and Information Engineering, Henan Normal University, Xinxiang, CHINA"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan Normal University, Xinxiang, CHINA","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090639687","display_name":"Siyu Tian","orcid":"https://orcid.org/0000-0002-8709-1798"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Tian","raw_affiliation_strings":["School of Computer and Information Engineering, Henan Normal University, Xinxiang, CHINA"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan Normal University, Xinxiang, CHINA","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078476204","display_name":"Xihui Liang","orcid":"https://orcid.org/0000-0003-1192-1238"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xihui Liang","raw_affiliation_strings":["Department of Mechanical Engineering, University of Manitoba, Winnipeg, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Manitoba, Winnipeg, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081192942","display_name":"Jianliang He","orcid":"https://orcid.org/0000-0003-4290-6380"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianliang He","raw_affiliation_strings":["School of Computer and Information Engineering, Henan Normal University, Xinxiang, CHINA"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan Normal University, Xinxiang, CHINA","institution_ids":["https://openalex.org/I75955062"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.049,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":8,"citation_normalized_percentile":{"value":0.779159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9997,"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":0.9997,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9975,"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"}},{"id":"https://openalex.org/T13213","display_name":"Mechanical Failure Analysis and Simulation","score":0.9845,"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/autoencoder","display_name":"Autoencoder","score":0.52241635}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.72214174},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.6785629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63928795},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.58108884},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.57580626},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.52241635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46379644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35569686},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14893144},{"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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2018.8448775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1544544311","https://openalex.org/W1972904341","https://openalex.org/W1985110006","https://openalex.org/W2012193335","https://openalex.org/W2028119131","https://openalex.org/W2043181992","https://openalex.org/W2063484628","https://openalex.org/W2107714187","https://openalex.org/W2135738926","https://openalex.org/W2164641162","https://openalex.org/W2219903032","https://openalex.org/W2582662555","https://openalex.org/W2601590138","https://openalex.org/W2746111230","https://openalex.org/W2754767460","https://openalex.org/W2777200870"],"related_works":["https://openalex.org/W3131327266","https://openalex.org/W3013693939","https://openalex.org/W2734887215","https://openalex.org/W2594567802","https://openalex.org/W2575656761","https://openalex.org/W2566616303","https://openalex.org/W2378667342","https://openalex.org/W2363739414","https://openalex.org/W2159052453","https://openalex.org/W2065631063"],"abstract_inverted_index":{"Thanks":[0],"to":[1,52,72,85,93,147,186,201,235],"the":[2,6,26,34,61,74,80,87,95,142,150,177,195,203,222,227,236],"quick":[3,232],"development":[4],"of":[5,8,28,36,45,79,130,155,180],"Internet":[7],"Thing":[9],"and":[10,30,123,157,193,214,241],"other":[11],"advanced":[12],"measuring":[13],"techniques,":[14],"online":[15,49,88,107,169,188,196],"fault":[16,56,98,109,143,189,217],"diagnosis":[17,41,50,75,89,110,161,197,229,242],"for":[18,171],"rotating":[19],"machinery":[20],"has":[21],"received":[22],"much":[23],"attention":[24],"in":[25,114],"fields":[27],"academy":[29],"engineering.":[31],"Different":[32],"from":[33,60],"most":[35,96],"current":[37],"methods":[38],"which":[39,63,126],"make":[40],"on":[42,118,212],"a":[43,55,105,128],"bunch":[44],"existing":[46],"vibration":[47],"data,":[48],"needs":[51,71,92],"find":[53],"whether":[54],"or":[57],"crack":[58],"occurred":[59],"data":[62,144,175,205,218],"are":[64,145],"collected":[65,82],"sequentially.":[66],"In":[67],"this":[68,115],"scenario,":[69],"it":[70,91],"update":[73],"model":[76,162,183,198],"by":[77,153,165,206],"means":[78,154],"new":[81,106,173,204],"data.":[83],"Moreover,":[84],"maintain":[86],"accuracy,":[90],"extract":[94,149],"representative":[97,151],"features":[99,152],"quickly.":[100],"Following":[101],"these":[102,208],"two":[103,137],"tasks,":[104],"bearing":[108,216],"method":[111,135,224],"is":[112,127,163,184,199],"proposed":[113,223],"paper":[116],"based":[117],"Incremental":[119],"Support":[120],"Vector":[121],"Machine(ISVM)":[122],"Stacked":[124],"Auto-Encoder(SAE)":[125],"kind":[129],"deep":[131],"learning":[132],"algorithm.":[133],"This":[134],"contains":[136],"stages.":[138],"At":[139,168],"offline":[140,160,181],"stage,":[141,170],"utilized":[146],"automatically":[148],"SAE,":[156],"then":[158,194],"an":[159],"constructed":[164],"using":[166],"ISVM.":[167],"each":[172],"arrived":[174],"block,":[176],"network":[178],"weight":[179],"SAE":[182],"introduced":[185],"generate":[187],"feature":[190,239],"vectors":[191],"directly,":[192],"updated":[200],"incorporate":[202],"integrating":[207],"features.":[209],"Experimental":[210],"results":[211],"CWRU":[213],"IMS":[215],"sets":[219],"show":[220],"that,":[221],"can":[225],"reach":[226],"satisfactory":[228],"performance":[230],"at":[231],"speed":[233],"compared":[234],"typical":[237],"traditional":[238],"extraction":[240],"methods.":[243]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2889052685","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2024-12-07T15:19:29.034683","created_date":"2018-09-07"}