{"id":"https://openalex.org/W4319990462","doi":"https://doi.org/10.1109/tim.2023.3238032","title":"CFFsBD: A Candidate Fault Frequencies-Based Blind Deconvolution for Rolling Element Bearings Fault Feature Enhancement","display_name":"CFFsBD: A Candidate Fault Frequencies-Based Blind Deconvolution for Rolling Element Bearings Fault Feature Enhancement","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319990462","doi":"https://doi.org/10.1109/tim.2023.3238032"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3238032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3238032","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/A5026364945","display_name":"Yao Cheng","orcid":"https://orcid.org/0000-0001-5151-5651"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Cheng","raw_affiliation_strings":["Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5151-5651","affiliations":[{"raw_affiliation_string":"Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067060520","display_name":"Ning Zhou","orcid":"https://orcid.org/0000-0002-6199-2272"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Zhou","raw_affiliation_strings":["Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6199-2272","affiliations":[{"raw_affiliation_string":"Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449969","display_name":"Zhiwei Wang","orcid":"https://orcid.org/0000-0002-9402-4729"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Wang","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9402-4729","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102984094","display_name":"Bingyan Chen","orcid":"https://orcid.org/0000-0001-7103-0221"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyan Chen","raw_affiliation_strings":["Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7103-0221","affiliations":[{"raw_affiliation_string":"Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370309","display_name":"Weihua Zhang","orcid":"https://orcid.org/0000-0002-3391-3872"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Zhang","raw_affiliation_strings":["Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3391-3872","affiliations":[{"raw_affiliation_string":"Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026364945"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":10.658,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.98876814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"12"},"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":0.9954000115394592,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9950000047683716,"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/cyclostationary-process","display_name":"Cyclostationary process","score":0.8374143838882446},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6121113300323486},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.6051313281059265},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6014408469200134},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.5437155961990356},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.519008994102478},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.4842812418937683},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4420316815376282},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.43172013759613037},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4022196829319},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.39031901955604553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35320115089416504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2079155445098877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16611018776893616},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08659198880195618}],"concepts":[{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.8374143838882446},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6121113300323486},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.6051313281059265},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6014408469200134},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.5437155961990356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.519008994102478},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.4842812418937683},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4420316815376282},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.43172013759613037},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4022196829319},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.39031901955604553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35320115089416504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2079155445098877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16611018776893616},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08659198880195618},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3238032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3238032","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":[],"awards":[{"id":"https://openalex.org/G2168400990","display_name":null,"funder_award_id":"52202424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7333523673","display_name":null,"funder_award_id":"SZ2022-01","funder_id":"https://openalex.org/F4320316089","funder_display_name":"Shijiazhuang Tiedao University"},{"id":"https://openalex.org/G8034499786","display_name":null,"funder_award_id":"2022NSFSC1873","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320316089","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2019024593","https://openalex.org/W2019900743","https://openalex.org/W2033777252","https://openalex.org/W2049978175","https://openalex.org/W2053436766","https://openalex.org/W2056700360","https://openalex.org/W2335495295","https://openalex.org/W2407691794","https://openalex.org/W2437984376","https://openalex.org/W2555910166","https://openalex.org/W2558698691","https://openalex.org/W2585416310","https://openalex.org/W2585519949","https://openalex.org/W2751891979","https://openalex.org/W2792779300","https://openalex.org/W2839815754","https://openalex.org/W2904460913","https://openalex.org/W2970444935","https://openalex.org/W3014257064","https://openalex.org/W3134436275","https://openalex.org/W3166075979","https://openalex.org/W3177031903","https://openalex.org/W4206388460","https://openalex.org/W4226279299"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2586325539","https://openalex.org/W2023738877","https://openalex.org/W2147401053","https://openalex.org/W2029084792","https://openalex.org/W2589098082"],"abstract_inverted_index":{"The":[0,11,198,216],"repetitive":[1],"transient":[2],"impulses":[3],"are":[4],"typical":[5],"symptoms":[6],"of":[7,13,24,47,68,83,89,112,120,123,143,172,183,194,200,208,213,223],"rolling":[8],"bearing":[9,42,131],"faults.":[10],"indicator":[12,151,178],"second-order":[14],"cyclostationarity":[15,38],"(ICS2)-based":[16],"blind":[17,103],"deconvolution":[18,174],"(CYCBD)":[19],"maximizing":[20],"the":[21,25,36,45,48,66,81,87,118,139,144,158,166,170,173,195,201,206,219,224],"cyclostationary":[22,230],"behavior":[23],"excitation":[26],"source":[27],"proves":[28],"to":[29,65,79,127,146,156,168],"be":[30,128,135,147,189],"an":[31,90],"effective":[32],"method":[33,70,76],"for":[34,108],"enhancing":[35],"periodic":[37],"component":[39],"caused":[40,55],"by":[41,56,137,153,205],"defect.":[43],"However,":[44],"deviation":[46],"fault":[49,100,109,132],"characteristic":[50],"frequency\u2014a":[51],"common":[52],"phenomenon":[53],"easily":[54],"roller":[57],"creep":[58],"or":[59],"measurement":[60],"systems,":[61],"etc.,":[62],"can":[63,134,188],"lead":[64],"collapse":[67],"this":[69,75,95],"in":[71,161,227],"practical":[72],"applications.":[73],"Additionally,":[74],"is":[77,163,179,203],"prone":[78],"induce":[80],"generation":[82],"pseudo-cyclostationary":[84],"components":[85],"under":[86],"guidance":[88],"inappropriate":[91],"cyclic":[92],"frequency.":[93],"Thus,":[94],"work":[96],"proposes":[97],"a":[98,180,191],"candidate":[99],"frequencies":[101,124,160],"(CFFs)-based":[102],"deconvolution,":[104],"abbreviated":[105],"as":[106,165],"CFFsBD,":[107],"feature":[110],"enhancement":[111],"bearings.":[113,215],"This":[114,176],"idea":[115],"comes":[116],"from":[117],"concept":[119],"CFFs\u2014a":[121],"collection":[122],"most":[125],"likely":[126],"associated":[129],"with":[130],"that":[133],"identified":[136],"mining":[138],"local":[140],"time\u2013frequency":[141],"features":[142],"signal":[145],"analyzed.":[148],"A":[149],"new":[150,177],"constructed":[152],"using":[154],"CFFs":[155],"replace":[157],"cycle":[159],"ICS2":[162],"utilized":[164],"criterion":[167],"guide":[169],"solution":[171],"filter.":[175],"generalized":[181],"version":[182],"ICS2,":[184],"and":[185,210,221],"thus,":[186],"CYCBD":[187],"considered":[190],"special":[192],"case":[193],"proposed":[196,225],"CFFsBD.":[197],"performance":[199],"CFFsBD":[202,226],"demonstrated":[204],"analysis":[207],"simulated":[209],"experimental":[211],"signals":[212],"faulty":[214],"results":[217],"highlight":[218],"robustness":[220],"stability":[222],"extracting":[228],"fault-induced":[229],"symptoms.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":11}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}