{"id":"https://openalex.org/W4412375601","doi":"https://doi.org/10.1109/tim.2025.3582325","title":"Frequency Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution for Bearing Fault Diagnosis","display_name":"Frequency Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution for Bearing Fault Diagnosis","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412375601","doi":"https://doi.org/10.1109/tim.2025.3582325"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3582325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3582325","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5037707624","display_name":"Xinyuan Zhao","orcid":"https://orcid.org/0009-0006-0777-7199"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyuan Zhao","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China","Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chao Yang District, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-0777-7199","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chao Yang District, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765519","display_name":"Dongdong Liu","orcid":"https://orcid.org/0000-0003-2638-3014"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Liu","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China","Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chao Yang District, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2638-3014","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chao Yang District, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086461425","display_name":"Lingli Cui","orcid":"https://orcid.org/0000-0003-2883-4018"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingli Cui","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China","Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chao Yang District, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2883-4018","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chao Yang District, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":1.4068,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79841618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9761000275611877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.5976769328117371},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5894654989242554},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5876064300537109},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5331544280052185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49433422088623047},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4472356140613556},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.38271400332450867},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3570108413696289},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.32865989208221436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2674522399902344},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25556516647338867},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21797427535057068},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09739473462104797}],"concepts":[{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.5976769328117371},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5894654989242554},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5876064300537109},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5331544280052185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49433422088623047},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4472356140613556},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.38271400332450867},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3570108413696289},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.32865989208221436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2674522399902344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25556516647338867},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21797427535057068},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09739473462104797},{"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/tim.2025.3582325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3582325","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G6008863808","display_name":null,"funder_award_id":"L221007","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G6012941511","display_name":null,"funder_award_id":"52305086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6123005572","display_name":null,"funder_award_id":"52475081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7049199596","display_name":null,"funder_award_id":"52075008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W427289305","https://openalex.org/W1984516393","https://openalex.org/W2019024593","https://openalex.org/W2056700360","https://openalex.org/W2093849451","https://openalex.org/W2437984376","https://openalex.org/W2507952184","https://openalex.org/W2585416310","https://openalex.org/W2585519949","https://openalex.org/W2594394077","https://openalex.org/W2781219304","https://openalex.org/W2796257745","https://openalex.org/W2809694228","https://openalex.org/W2839815754","https://openalex.org/W2922209190","https://openalex.org/W2945027395","https://openalex.org/W3006084481","https://openalex.org/W3033667082","https://openalex.org/W3134436275","https://openalex.org/W3157834863","https://openalex.org/W3212370442","https://openalex.org/W4309193521","https://openalex.org/W4319990462","https://openalex.org/W4320519459","https://openalex.org/W4365563339","https://openalex.org/W4385272638","https://openalex.org/W4388703614","https://openalex.org/W4388819185","https://openalex.org/W4393206958","https://openalex.org/W4393640294","https://openalex.org/W4394585971","https://openalex.org/W4407356442","https://openalex.org/W4408147077","https://openalex.org/W4409253823"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2029084792","https://openalex.org/W2023738877","https://openalex.org/W2147401053","https://openalex.org/W2589098082"],"abstract_inverted_index":{"Maximum":[0],"second-order":[1,48],"cyclostationarity":[2,49],"blind":[3,50],"deconvolution":[4,51,215],"(CYCBD)":[5],"has":[6],"been":[7],"demonstrated":[8],"to":[9,64,80,106,131,148,160],"exhibit":[10],"excellent":[11],"performance":[12],"in":[13,36],"revealing":[14],"bearing":[15],"fault":[16,27,93,113,162],"impulses.":[17],"However,":[18],"its":[19],"application":[20],"heavily":[21],"relies":[22],"on":[23],"prior":[24,181],"knowledge":[25,182],"of":[26,69,76,95,126,136,196],"characteristic":[28],"frequency":[29,45,85,98,119,133,168],"(FCF),":[30],"which":[31],"cannot":[32],"be":[33],"obtained":[34],"ahead":[35],"practical":[37],"engineering.":[38],"To":[39],"address":[40],"this":[41],"problem,":[42],"a":[43,57,170],"novel":[44],"adaptive":[46],"maximum":[47],"(FACYCBD)":[52],"is":[53,62,88,101,120,146,158,198],"proposed.":[54],"In":[55],"FACYCBD,":[56],"periodic":[58],"hierarchical":[59],"assessment":[60],"method":[61],"proposed":[63],"facilitate":[65],"the":[66,73,92,108,117,123,127,139,153,194],"accurate":[67],"estimation":[68],"cyclic":[70,97,118,150,167],"frequency,":[71],"where":[72],"unique":[74],"merit":[75],"spectral":[77],"coherence":[78],"(SCoh)":[79],"simultaneously":[81],"unveil":[82],"both":[83,201],"resonance":[84],"and":[86,115,203,211],"FCF":[87],"fully":[89],"exploited.":[90],"Specifically,":[91],"information":[94],"all":[96,144],"slices":[99,145],"(CFSs)":[100],"converted":[102],"into":[103],"numerical":[104],"representations":[105],"select":[107],"optimal":[109,128,140],"slice":[110,141],"containing":[111],"abundant":[112],"information,":[114],"then":[116],"determined":[121],"using":[122],"trend":[124],"curve":[125],"slice.":[129],"Especially,":[130],"avoid":[132],"interference":[134],"independent":[135],"faults,":[137],"only":[138],"rather":[142],"than":[143],"considered":[147],"estimate":[149],"frequency.":[151],"Subsequently,":[152],"filtered":[154],"envelope":[155],"spectrum":[156],"(ES)":[157],"constructed":[159],"extract":[161],"features":[163],"by":[164],"employing":[165],"estimated":[166],"as":[169],"replacement":[171],"for":[172],"FCF.":[173],"The":[174],"FACYCBD":[175,197],"can":[176],"adaptively":[177],"perform":[178],"without":[179],"any":[180],"about":[183],"fault,":[184],"making":[185],"it":[186],"better":[187],"aligned":[188],"with":[189,213],"real-world":[190],"industrial":[191],"scenarios.":[192],"Finally,":[193],"advantage":[195],"validated":[199],"through":[200],"simulation":[202],"experimental":[204],"data":[205],"captured":[206],"from":[207],"different":[208],"test":[209],"rigs":[210],"compared":[212],"other":[214],"methods.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}