{"id":"https://openalex.org/W4366667175","doi":"https://doi.org/10.1109/tim.2023.3269103","title":"Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings","display_name":"Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366667175","doi":"https://doi.org/10.1109/tim.2023.3269103"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3269103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3269103","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/A5009280945","display_name":"Juntao Ma","orcid":"https://orcid.org/0000-0003-4335-125X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juntao Ma","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4335-125X","affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072145928","display_name":"Weiguo Huang","orcid":"https://orcid.org/0000-0002-6734-2019"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguo Huang","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6734-2019","affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101752422","display_name":"Yi Liao","orcid":"https://orcid.org/0000-0003-1550-6058"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liao","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1550-6058","affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008653906","display_name":"Xingxing Jiang","orcid":"https://orcid.org/0000-0003-2987-6930"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxing Jiang","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2987-6930","affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015527442","display_name":"Chuancang Ding","orcid":"https://orcid.org/0000-0002-7610-5293"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuancang Ding","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7610-5293","affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054789987","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-3392-1020"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3392-1020","affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043608454","display_name":"Juanjuan Shi","orcid":"https://orcid.org/0000-0001-8634-9083"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juanjuan Shi","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8634-9083","affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5009280945"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":2.8694,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.90670337,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"10"},"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":0.9994000196456909,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/singular-value","display_name":"Singular value","score":0.688202440738678},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.619838535785675},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5787432193756104},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.5436406135559082},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5428263545036316},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.5386599898338318},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5369738340377808},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5125491619110107},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4808364808559418},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.449916809797287},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.43381163477897644},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.42355024814605713},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.4214060306549072},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41896480321884155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40422356128692627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3989435136318207},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.2133873999118805},{"id":"https://openalex.org/keywords/hankel-matrix","display_name":"Hankel matrix","score":0.20995381474494934}],"concepts":[{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.688202440738678},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.619838535785675},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5787432193756104},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.5436406135559082},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5428263545036316},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.5386599898338318},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5369738340377808},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5125491619110107},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4808364808559418},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.449916809797287},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.43381163477897644},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.42355024814605713},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.4214060306549072},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41896480321884155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40422356128692627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3989435136318207},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.2133873999118805},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.20995381474494934},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3269103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3269103","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":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G3234005388","display_name":null,"funder_award_id":"52075353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3401778377","display_name":null,"funder_award_id":"52205119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7412655461","display_name":null,"funder_award_id":"52275121","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1964511482","https://openalex.org/W1969698720","https://openalex.org/W2299617127","https://openalex.org/W2346783460","https://openalex.org/W2620850570","https://openalex.org/W2767579567","https://openalex.org/W2790888198","https://openalex.org/W2898726045","https://openalex.org/W2914038017","https://openalex.org/W2940658606","https://openalex.org/W2945027395","https://openalex.org/W2985832853","https://openalex.org/W3004640153","https://openalex.org/W3011234705","https://openalex.org/W3031397607","https://openalex.org/W3048349609","https://openalex.org/W3107180574","https://openalex.org/W3126418353","https://openalex.org/W3173308140","https://openalex.org/W3195533526","https://openalex.org/W3198274551","https://openalex.org/W3214433557","https://openalex.org/W4206552580","https://openalex.org/W4221011696","https://openalex.org/W4225919356","https://openalex.org/W4226289515","https://openalex.org/W4296225807","https://openalex.org/W6790231763"],"related_works":["https://openalex.org/W4366831400","https://openalex.org/W2158044763","https://openalex.org/W4221157149","https://openalex.org/W4283122425","https://openalex.org/W4298234822","https://openalex.org/W2782047334","https://openalex.org/W1970576574","https://openalex.org/W3017414697","https://openalex.org/W2522507432","https://openalex.org/W605362495"],"abstract_inverted_index":{"The":[0,15,115],"diagnosis":[1,19,38],"of":[2,21,42,47,133,143,177,188],"bearing":[3,36],"early":[4],"fault":[5,37,69,76,178],"is":[6,20,65,94,165],"significant":[7],"and":[8,17,44,81,108,124,146,182,190],"fundamental":[9],"in":[10,51,84],"the":[11,68,99,134,159,168,175,186],"machine":[12],"condition":[13],"monitoring.":[14],"accurate":[16],"effective":[18],"great":[22],"importance":[23],"to":[24,96,120,153,173],"avoid":[25],"further":[26],"serious":[27],"accidents.":[28],"However,":[29],"existing":[30],"sparse":[31,56,80],"low-rank":[32,57,82,122],"(SLR)":[33],"methods":[34],"for":[35,167],"suffer":[39],"from":[40,71],"underestimation":[41],"amplitude":[43],"inaccurate":[45],"approximation":[46],"singular":[48,169],"values.":[49],"Therefore,":[50],"this":[52],"paper,":[53],"a":[54,90,162],"novel":[55],"matrix":[58],"estimation":[59],"method":[60,142],"with":[61],"nonconvex":[62,117],"enhancement":[63],"(SLRNE)":[64],"proposed,":[66],"extracting":[67],"transients":[70,77],"observed":[72],"noisy":[73],"signal.":[74],"Specifically,":[75],"have":[78],"both":[79],"properties":[83,102],"time-frequency":[85],"domain.":[86],"Based":[87],"on":[88,129],"this,":[89],"SLR":[91],"optimization":[92,135,138],"model":[93],"proposed":[95],"simultaneously":[97],"promote":[98,121],"above":[100],"two":[101,116],"via":[103],"truncated":[104],"nuclear":[105],"norm":[106],"(TNN)":[107],"generalized":[109],"minimax":[110],"concave":[111],"(GMC)":[112],"penalty":[113],"function.":[114],"functions":[118],"aim":[119],"property":[123],"sparsity":[125],"respectively.":[126],"Then,":[127],"based":[128],"derived":[130],"convexity":[131],"conditions":[132],"problem,":[136],"convex":[137],"algorithm,":[139,150,161],"alternating":[140],"direction":[141],"multipliers":[144],"(ADMM)":[145],"forward-and-backward":[147],"splitting":[148],"(FBS)":[149],"are":[151],"applied":[152],"obtain":[154],"global":[155],"optimal":[156],"solution.":[157],"In":[158],"iterative":[160],"weighting":[163],"strategy":[164],"designed":[166],"value":[170],"threshold":[171],"operator":[172],"enhance":[174],"effect":[176],"feature":[179],"extraction.":[180],"Simulated":[181],"experimental":[183],"signals":[184],"verify":[185,193],"effectiveness":[187],"SLRNE":[189],"contrast":[191],"experiments":[192],"its":[194],"superiority.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}