{"id":"https://openalex.org/W4394840330","doi":"https://doi.org/10.1145/3650215.3650375","title":"Research on rolling bearing fault diagnosis based on Ensemble Empirical Mode Decomposition and Hilbert envelope spectrum analysis","display_name":"Research on rolling bearing fault diagnosis based on Ensemble Empirical Mode Decomposition and Hilbert envelope spectrum analysis","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4394840330","doi":"https://doi.org/10.1145/3650215.3650375"},"language":"en","primary_location":{"id":"doi:10.1145/3650215.3650375","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","raw_type":"proceedings-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/A5036370280","display_name":"Ye Yuan","orcid":"https://orcid.org/0009-0004-8107-9407"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["Wuhan University of Science and Technology, China and \rAir Force Early Warning Academy, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, China and \rAir Force Early Warning Academy, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081576405","display_name":"Zhenxing Liu","orcid":"https://orcid.org/0000-0002-9944-7464"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxing Liu","raw_affiliation_strings":["Wuhan University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088749250","display_name":"Naifa Gong","orcid":"https://orcid.org/0009-0001-4361-8949"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naifa Gong","raw_affiliation_strings":["Air Force Early Warning Academy, China"],"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059090805","display_name":"Y. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Liu","raw_affiliation_strings":["Air Force Early Warning Academy, China"],"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103122534","display_name":"Peng Hang","orcid":"https://orcid.org/0009-0006-8519-8571"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Hang","raw_affiliation_strings":["Air Force Early Warning Academy, China"],"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036370280"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2411894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"913","last_page":"916"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9642000198364258,"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"}},"topics":[{"id":"https://openalex.org/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9642000198364258,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9589999914169312,"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":0.9004999995231628,"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.9672436118125916},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.7489403486251831},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5762218236923218},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5703914165496826},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5285229682922363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.512932538986206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2772122621536255},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16151100397109985},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13664856553077698},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.13196870684623718},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.07491251826286316}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.9672436118125916},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.7489403486251831},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5762218236923218},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5703914165496826},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5285229682922363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512932538986206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2772122621536255},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16151100397109985},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13664856553077698},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.13196870684623718},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.07491251826286316},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650215.3650375","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2156702135","https://openalex.org/W2385834602","https://openalex.org/W2384172008","https://openalex.org/W2381528779","https://openalex.org/W2378934161","https://openalex.org/W1919019022","https://openalex.org/W2575656761","https://openalex.org/W2065631063","https://openalex.org/W2378667342","https://openalex.org/W2594567802"],"abstract_inverted_index":{"Rolling":[0],"bearings":[1],"are":[2],"important":[3],"components":[4],"of":[5,15,124],"rotating":[6],"machinery":[7],"and":[8,10,29,61,74,112],"equipment,":[9],"their":[11],"fault":[12,19,46,58,78,82,95,106,123],"diagnosis":[13,20,107],"is":[14,34,40,88],"great":[16],"significance.":[17],"A":[18],"method":[21,39,69,108],"that":[22,102],"combines":[23],"EEMD":[24,38,111],"(ensemble":[25],"empirical":[26],"mode":[27,53],"decomposition)":[28],"Hilbert":[30,64,113],"envelope":[31,66,114],"spectrum":[32,67,115],"analysis":[33,68,87,116],"proposed.":[35],"First,":[36],"the":[37,44,50,65,71,77,91,103,120,125],"used":[41],"to":[42,48],"decompose":[43],"original":[45],"signal":[47],"obtain":[49],"IMF":[51,72],"(intrinsic":[52],"function)":[54],"component":[55,73],"containing":[56],"bearing":[57,92,105],"characteristic":[59,79,83],"information,":[60],"then":[62],"through":[63],"analyzes":[70],"finally":[75],"obtains":[76],"frequency.":[80],"The":[81,99],"frequency":[84,96],"obtained":[85],"by":[86],"compared":[89],"with":[90],"rolling":[93,104,121],"element":[94,122],"calculated":[97],"theoretically.":[98],"results":[100],"show":[101],"based":[109],"on":[110],"can":[117],"effectively":[118],"identify":[119],"bearing.":[126]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
