{"id":"https://openalex.org/W3034148153","doi":"https://doi.org/10.1109/access.2020.2998722","title":"A Fault Diagnosis Solution of Rolling Bearing Based on MEEMD and QPSO-LSSVM","display_name":"A Fault Diagnosis Solution of Rolling Bearing Based on MEEMD and QPSO-LSSVM","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3034148153","doi":"https://doi.org/10.1109/access.2020.2998722","mag":"3034148153"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2998722","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998722","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09104718.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/ielx7/6287639/8948470/09104718.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071345802","display_name":"Fuzheng Liu","orcid":"https://orcid.org/0000-0002-2866-4808"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuzheng Liu","raw_affiliation_strings":["College of Automation, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-2866-4808","affiliations":[{"raw_affiliation_string":"College of Automation, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101566378","display_name":"Junwei Gao","orcid":"https://orcid.org/0000-0001-8870-2960"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Gao","raw_affiliation_strings":["College of Automation, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-8870-2960","affiliations":[{"raw_affiliation_string":"College of Automation, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062228253","display_name":"Huabo Liu","orcid":"https://orcid.org/0000-0002-4182-8934"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huabo Liu","raw_affiliation_strings":["College of Automation, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-4182-8934","affiliations":[{"raw_affiliation_string":"College of Automation, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071345802"],"corresponding_institution_ids":["https://openalex.org/I108688024"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.2319,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.87789994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"101476","last_page":"101488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7679790258407593},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.7552509307861328},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.7122994065284729},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.6878640651702881},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.6164617538452148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5853351950645447},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5087679028511047},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5073539614677429},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4581022262573242},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4451679289340973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44353875517845154},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.4411667585372925},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.42574116587638855},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.42035767436027527},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4203314185142517},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4127582907676697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34823077917099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24177145957946777},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.099429190158844}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7679790258407593},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7552509307861328},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.7122994065284729},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.6878640651702881},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.6164617538452148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5853351950645447},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5087679028511047},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5073539614677429},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4581022262573242},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4451679289340973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44353875517845154},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.4411667585372925},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.42574116587638855},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.42035767436027527},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4203314185142517},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4127582907676697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34823077917099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24177145957946777},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.099429190158844},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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.2020.2998722","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998722","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09104718.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:673ad79112de41d79981dde3e669569f","is_oa":true,"landing_page_url":"https://doaj.org/article/673ad79112de41d79981dde3e669569f","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 8, Pp 101476-101488 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2998722","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998722","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09104718.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":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G320237441","display_name":null,"funder_award_id":"2017GGX10115","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"},{"id":"https://openalex.org/G4538573035","display_name":null,"funder_award_id":"ZR2019MF063","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320333596","display_name":"Key Technology Research and Development Program of Shandong","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034148153.pdf","grobid_xml":"https://content.openalex.org/works/W3034148153.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1566399673","https://openalex.org/W1973048907","https://openalex.org/W2006417187","https://openalex.org/W2018066145","https://openalex.org/W2120390927","https://openalex.org/W2152195021","https://openalex.org/W2160097539","https://openalex.org/W2549489119","https://openalex.org/W2581853886","https://openalex.org/W2595796352","https://openalex.org/W2607071304","https://openalex.org/W2650193416","https://openalex.org/W2744790985","https://openalex.org/W2755314367","https://openalex.org/W2768988016","https://openalex.org/W2770344288","https://openalex.org/W2781003581","https://openalex.org/W2791111128","https://openalex.org/W2799501716","https://openalex.org/W2799978484","https://openalex.org/W2801569792","https://openalex.org/W2802686655","https://openalex.org/W2809350318","https://openalex.org/W2811138152","https://openalex.org/W2891732247","https://openalex.org/W2917552285","https://openalex.org/W2925322067","https://openalex.org/W2981742420","https://openalex.org/W3000813703","https://openalex.org/W3013482090"],"related_works":["https://openalex.org/W2351415501","https://openalex.org/W2782295999","https://openalex.org/W2162306796","https://openalex.org/W1970292246","https://openalex.org/W2388685612","https://openalex.org/W2016162169","https://openalex.org/W4247952185","https://openalex.org/W1895367623","https://openalex.org/W1642462315","https://openalex.org/W2015118744"],"abstract_inverted_index":{"The":[0,144],"vibration":[1,73,133,166],"signals":[2,74,167],"of":[3,42,48,95,132,140,152,164],"rolling":[4,43],"bearing":[5],"are":[6,75],"often":[7],"non-stationary":[8],"and":[9,11,61,105,120,130,135,169],"non-linear,":[10],"consequently":[12],"it":[13],"is":[14,35,147],"much":[15],"more":[16],"difficult":[17],"to":[18,37,81,117],"extract":[19,161],"the":[20,24,39,46,49,72,78,83,91,99,109,114,126,138,141,150,153,162,165],"deep":[21],"characteristics":[22,94,163],"in":[23],"time":[25],"domain.":[26],"In":[27,69],"this":[28,70,158],"paper,":[29],"a":[30],"new":[31],"fault":[32,40,142],"diagnosis":[33],"method":[34,146],"proposed":[36,145],"identify":[38,170],"types":[41],"bearings":[44],"combined":[45],"benefits":[47],"modified":[50],"ensemble":[51],"empirical":[52],"mode":[53,85],"decomposition":[54,129],"(MEEMD),":[55],"quantum":[56],"particle":[57],"swarm":[58],"optimization":[59],"(QPSO)":[60],"least":[62],"squares":[63],"support":[64],"vector":[65],"machine":[66],"(LSSVM)":[67],"algorithms.":[68],"method,":[71],"decomposed":[76],"by":[77,113,149],"MEEMD":[79],"algorithm":[80,116],"obtain":[82],"intrinsic":[84],"function":[86],"(IMF)":[87],"components.":[88],"After":[89],"normalizing":[90],"energy":[92],"moment":[93],"each":[96],"IMF":[97],"component,":[98],"feature":[100],"vectors":[101],"can":[102,123,160],"be":[103],"obtained":[104],"conveniently":[106],"input":[107],"into":[108],"LSSVM":[110],"model":[111],"optimized":[112],"QPSO":[115],"perform":[118],"training":[119],"identification.":[121],"It":[122,155],"effectively":[124,168],"improve":[125,137],"performance":[127],"on":[128],"extraction":[131],"signals,":[134],"further":[136],"accuracy":[139],"diagnosis.":[143],"verified":[148],"results":[151],"experiments.":[154],"shows":[156],"that":[157],"technique":[159],"them":[171],"accurately.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}