{"id":"https://openalex.org/W3173322341","doi":"https://doi.org/10.3390/e23060762","title":"Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM","display_name":"Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM","publication_year":2021,"publication_date":"2021-06-16","ids":{"openalex":"https://openalex.org/W3173322341","doi":"https://doi.org/10.3390/e23060762","mag":"3173322341","pmid":"https://pubmed.ncbi.nlm.nih.gov/34208777"},"language":"en","primary_location":{"id":"doi:10.3390/e23060762","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23060762","pdf_url":"https://www.mdpi.com/1099-4300/23/6/762/pdf?version=1623929952","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/23/6/762/pdf?version=1623929952","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069015593","display_name":"Maoyou Ye","orcid":"https://orcid.org/0000-0003-4148-2635"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoyou Ye","raw_affiliation_strings":["School of Mechatronics Engineering, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029523480","display_name":"Xiaoan Yan","orcid":"https://orcid.org/0000-0001-6986-6943"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoan Yan","raw_affiliation_strings":["School of Mechatronics Engineering, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029522441","display_name":"Minping Jia","orcid":"https://orcid.org/0000-0001-9010-2307"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minping Jia","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing 211189, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing 211189, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029523480"],"corresponding_institution_ids":["https://openalex.org/I167027274"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":7.8067,"has_fulltext":true,"cited_by_count":90,"citation_normalized_percentile":{"value":0.98294555,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"23","issue":"6","first_page":"762","last_page":"762"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9973999857902527,"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":0.9872000217437744,"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/support-vector-machine","display_name":"Support vector machine","score":0.6367641687393188},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.625796377658844},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.5902571082115173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5864386558532715},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5322064757347107},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5236591696739197},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5181307196617126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4890771508216858},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4832961857318878},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.453788697719574},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.44195759296417236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4405776262283325},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4395178258419037},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.15378344058990479},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11696496605873108},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07054373621940613}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6367641687393188},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.625796377658844},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.5902571082115173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5864386558532715},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5322064757347107},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5236591696739197},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5181307196617126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4890771508216858},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4832961857318878},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.453788697719574},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44195759296417236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4405776262283325},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4395178258419037},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.15378344058990479},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11696496605873108},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07054373621940613},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e23060762","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23060762","pdf_url":"https://www.mdpi.com/1099-4300/23/6/762/pdf?version=1623929952","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:34208777","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34208777","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:df67d815cb874f62a9c06c0e2462a9c3","is_oa":true,"landing_page_url":"https://doaj.org/article/df67d815cb874f62a9c06c0e2462a9c3","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":"Entropy, Vol 23, Iss 6, p 762 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/23/6/762/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e23060762","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 23; Issue 6; Pages: 762","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8233737","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8233737","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e23060762","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23060762","pdf_url":"https://www.mdpi.com/1099-4300/23/6/762/pdf?version=1623929952","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1004030241","display_name":null,"funder_award_id":"52005265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1102757267","display_name":null,"funder_award_id":"BE2019030637","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3418331863","display_name":null,"funder_award_id":"163040095","funder_id":"https://openalex.org/F4320312290","funder_display_name":"Nanjing Forestry University"},{"id":"https://openalex.org/G4977805914","display_name":null,"funder_award_id":"No. 52005265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6579708192","display_name":null,"funder_award_id":"163040117","funder_id":"https://openalex.org/F4320312290","funder_display_name":"Nanjing Forestry University"},{"id":"https://openalex.org/G991737248","display_name":null,"funder_award_id":"BE2019030637","funder_id":"https://openalex.org/F4320327777","funder_display_name":"Jiangsu Provincial Key Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320312290","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320327777","display_name":"Jiangsu Provincial Key Research and Development Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3173322341.pdf","grobid_xml":"https://content.openalex.org/works/W3173322341.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2000982976","https://openalex.org/W2554813422","https://openalex.org/W2572794761","https://openalex.org/W2604113470","https://openalex.org/W2758113345","https://openalex.org/W2799548092","https://openalex.org/W2803551303","https://openalex.org/W2808133870","https://openalex.org/W2808900966","https://openalex.org/W2811341518","https://openalex.org/W2893366725","https://openalex.org/W2899285374","https://openalex.org/W2899475869","https://openalex.org/W2903417465","https://openalex.org/W2908672384","https://openalex.org/W2910029591","https://openalex.org/W2910439030","https://openalex.org/W2947790723","https://openalex.org/W2951138942","https://openalex.org/W2954901483","https://openalex.org/W2965954302","https://openalex.org/W2998459193","https://openalex.org/W3005759030","https://openalex.org/W3006502385","https://openalex.org/W3009666770","https://openalex.org/W3016646640","https://openalex.org/W3027590995","https://openalex.org/W3030453392","https://openalex.org/W3041016892","https://openalex.org/W3046616398","https://openalex.org/W3046618944","https://openalex.org/W3090773633","https://openalex.org/W3101584733","https://openalex.org/W3106869630","https://openalex.org/W3126685764","https://openalex.org/W3162988700"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W2072581623","https://openalex.org/W2011248322","https://openalex.org/W2022287597"],"abstract_inverted_index":{"The":[0,19],"goal":[1],"of":[2,16,80,107,111,124],"the":[3,12,33,42,57,61,71,76,81,92,100,112,122,125,132],"paper":[4],"is":[5,21,47,67,84,97],"to":[6,10,69,86,120],"present":[7],"a":[8,137],"solution":[9],"improve":[11],"fault":[13,109],"detection":[14],"accuracy":[15,140],"rolling":[17,113],"bearings.":[18],"method":[20,134],"based":[22],"on":[23],"variational":[24,148,155],"mode":[25,52,149,156,163],"decomposition":[26],"(VMD),":[27],"multiscale":[28,77,151,158,165,172],"permutation":[29,78,166,173],"entropy":[30,79,153,160,167,174],"(MPE)":[31],"and":[32,60,169],"particle":[34],"swarm":[35],"optimization-based":[36],"support":[37],"vector":[38,96],"machine":[39],"(PSO-SVM).":[40],"Firstly,":[41],"original":[43],"bearing":[44,72],"vibration":[45,73],"signal":[46,83],"decomposed":[48],"into":[49,99],"several":[50],"intrinsic":[51],"functions":[53],"(IMF)":[54],"by":[55],"using":[56],"VMD":[58],"method,":[59],"feature":[62,89,95],"energy":[63],"ratio":[64],"(FER)":[65],"criterion":[66],"introduced":[68],"reconstruct":[70],"signal.":[74],"Secondly,":[75],"reconstructed":[82],"calculated":[85],"construct":[87],"multidimensional":[88,94],"vectors.":[90],"Finally,":[91],"constructed":[93],"fed":[98],"PSO-SVM":[101],"classification":[102],"model":[103],"for":[104],"automatic":[105],"identification":[106,139],"different":[108],"patterns":[110],"bearing.":[114],"Two":[115],"experimental":[116],"cases":[117],"are":[118],"adopted":[119],"validate":[121],"effectiveness":[123],"proposed":[126,133],"method.":[127],"Experimental":[128],"results":[129],"show":[130],"that":[131],"can":[135],"achieve":[136],"higher":[138],"compared":[141],"with":[142],"some":[143],"similar":[144],"available":[145],"methods":[146],"(e.g.,":[147],"decomposition-based":[150,157,164],"sample":[152],"(VMD-MSE),":[154],"fuzzy":[159],"(VMD-MFE),":[161],"empirical":[162],"(EMD-MPE)":[168],"wavelet":[170],"transform-based":[171],"(WT-MPE)).":[175]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
