{"id":"https://openalex.org/W4403977255","doi":"https://doi.org/10.1109/tim.2024.3484531","title":"Dictionary Learning Method for Cyclostationarity Maximization and Its Application to Bearing Fault Feature Extraction","display_name":"Dictionary Learning Method for Cyclostationarity Maximization and Its Application to Bearing Fault Feature Extraction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403977255","doi":"https://doi.org/10.1109/tim.2024.3484531"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3484531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3484531","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/A5043044750","display_name":"Weihao Zhang","orcid":null},"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":"Weihao Zhang","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611984","display_name":"Cai Yi","orcid":"https://orcid.org/0000-0001-5641-6791"},"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":"Cai Yi","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101459800","display_name":"Lei Yan","orcid":"https://orcid.org/0009-0001-8833-9206"},"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":"Lei Yan","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China"],"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/A5028715313","display_name":"Qi Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["CRRC Academy, Beijing, China","CRRC ACADEMY, Beijing, China"],"affiliations":[{"raw_affiliation_string":"CRRC Academy, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CRRC ACADEMY, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053874468","display_name":"Qiuyang Zhou","orcid":"https://orcid.org/0000-0002-1532-6551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiuyang Zhou","raw_affiliation_strings":["CRRC Academy, Beijing, China","CRRC ACADEMY, Beijing, China"],"affiliations":[{"raw_affiliation_string":"CRRC Academy, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CRRC ACADEMY, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028498180","display_name":"Pengfei He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei He","raw_affiliation_strings":["Shanxi Rail Transit Group, Xi&#x2019;an, Shanxi, China","Shanxi Rail Transit Group, Shanxi, China"],"affiliations":[{"raw_affiliation_string":"Shanxi Rail Transit Group, Xi&#x2019;an, Shanxi, China","institution_ids":["https://openalex.org/I4210141776"]},{"raw_affiliation_string":"Shanxi Rail Transit Group, Shanxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071297904","display_name":"Le Ran","orcid":"https://orcid.org/0000-0001-9619-3772"},"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":"Le Ran","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000124505","display_name":"Yunzhi Lin","orcid":"https://orcid.org/0000-0001-6087-8219"},"institutions":[{"id":"https://openalex.org/I4210133882","display_name":"China Railway Construction Corporation (China)","ror":"https://ror.org/03gyssm79","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133882"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunzhi Lin","raw_affiliation_strings":["China Railway Construction Electrification Bureau Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Railway Construction Electrification Bureau Group, Beijing, China","institution_ids":["https://openalex.org/I4210133882"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5043044750"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":3.1177,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93199848,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9309999942779541,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9309999942779541,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.762757420539856},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.670681357383728},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6634700894355774},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6498456001281738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6255841851234436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.572350263595581},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5504152774810791},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5308163166046143},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5179771184921265},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4880865812301636},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.46938320994377136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17735359072685242}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.762757420539856},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.670681357383728},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6634700894355774},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6498456001281738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6255841851234436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.572350263595581},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5504152774810791},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5308163166046143},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5179771184921265},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4880865812301636},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.46938320994377136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17735359072685242},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3484531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3484531","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":[{"score":0.5400000214576721,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G2277456111","display_name":null,"funder_award_id":"2023YFB4302000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2658301707","display_name":null,"funder_award_id":"2019M663899XB","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3383194608","display_name":null,"funder_award_id":"52272355","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1984516393","https://openalex.org/W2000982976","https://openalex.org/W2046674752","https://openalex.org/W2059210895","https://openalex.org/W2093849451","https://openalex.org/W2230524333","https://openalex.org/W2407691794","https://openalex.org/W2775599227","https://openalex.org/W2799476788","https://openalex.org/W2803768804","https://openalex.org/W2907947039","https://openalex.org/W2909067387","https://openalex.org/W2912412749","https://openalex.org/W2956112395","https://openalex.org/W2972506614","https://openalex.org/W3042440267","https://openalex.org/W3083789190","https://openalex.org/W3087588549","https://openalex.org/W3147892021","https://openalex.org/W4200554313","https://openalex.org/W4205347580","https://openalex.org/W4226173056","https://openalex.org/W4288059551","https://openalex.org/W4288420482","https://openalex.org/W4292962402","https://openalex.org/W4309012912","https://openalex.org/W4312952035","https://openalex.org/W4323108407","https://openalex.org/W4353056631","https://openalex.org/W4366750866","https://openalex.org/W4384934823","https://openalex.org/W4385480741","https://openalex.org/W4386873977"],"related_works":["https://openalex.org/W2035937180","https://openalex.org/W3196220745","https://openalex.org/W2061308401","https://openalex.org/W4311624988","https://openalex.org/W4232403546","https://openalex.org/W2575656761","https://openalex.org/W2065631063","https://openalex.org/W2378667342","https://openalex.org/W2594567802","https://openalex.org/W2363739414"],"abstract_inverted_index":{"It":[0],"has":[1],"been":[2],"demonstrated":[3],"that":[4],"fast":[5],"convolutional":[6,72],"sparse":[7,73],"dictionary":[8,74],"learning":[9,75],"(FCSDL)":[10],"is":[11,34,57,78,95],"a":[12],"useful":[13],"instrument":[14],"for":[15,52],"diagnosing":[16],"rolling":[17,23],"bearing":[18,24],"faults":[19],"and":[20,40,101,137,148],"can":[21,41,121],"recover":[22],"fault":[25,44,54,81,127,131],"shocks":[26],"unaffected":[27],"by":[28,37,80],"random":[29,38],"slippage.":[30],"However,":[31],"although":[32],"FCSDL":[33,147],"not":[35,58],"impacted":[36],"fluctuations":[39],"rapidly":[42],"reconstruct":[43],"shock":[45,55],"without":[46],"truncating":[47],"the":[48,86,92,98,106,113,115,123,126,130,140,153],"signal,":[49],"its":[50],"performance":[51],"repetitive":[53],"reconstruction":[56,89,135,143,161],"optimal":[59],"when":[60,162],"dealing":[61],"with":[62,146],"strong":[63],"noise":[64],"vibration":[65,107,166],"signals.":[66],"Therefore,":[67],"this":[68],"article":[69],"proposes":[70],"cyclostationary":[71],"(CCSDL),":[76],"which":[77,120],"guided":[79],"features":[82],"(cyclostationarity)":[83],"to":[84],"achieve":[85],"greatest":[87],"signal":[88,108,160],"performance.":[90],"First,":[91],"proposed":[93,154],"method":[94,155],"based":[96],"on":[97],"rotation":[99],"frequency,":[100],"various":[102],"frequency-band-covering":[103],"components":[104],"in":[105,159],"are":[109],"reconstructed":[110],"successively.":[111],"In":[112],"meanwhile,":[114],"harmonic":[116],"significance":[117],"index":[118],"(HSI),":[119],"indicate":[122],"cyclostationarity":[124],"of":[125,133],"shock,":[128],"evaluates":[129],"characteristics":[132],"each":[134],"result":[136],"finally":[138],"obtains":[139],"most":[141],"significant":[142],"result.":[144],"Compared":[145],"variational":[149],"mode":[150],"decomposition":[151],"(VMD),":[152],"performs":[156],"far":[157],"superior":[158],"processing":[163],"low":[164],"SNR":[165],"data.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
