{"id":"https://openalex.org/W4226289515","doi":"https://doi.org/10.1109/tim.2022.3165281","title":"Low-Rank Enforced Fault Feature Extraction of Rolling Bearings in a Complex Noisy Environment: A Perspective of Statistical Modeling of Noises","display_name":"Low-Rank Enforced Fault Feature Extraction of Rolling Bearings in a Complex Noisy Environment: A Perspective of Statistical Modeling of Noises","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226289515","doi":"https://doi.org/10.1109/tim.2022.3165281"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3165281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3165281","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/A5065848808","display_name":"Ran Wang","orcid":"https://orcid.org/0000-0002-6524-9099"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Wang","raw_affiliation_strings":["College of Logistics Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6524-9099","affiliations":[{"raw_affiliation_string":"College of Logistics Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103167980","display_name":"Haitao Fang","orcid":"https://orcid.org/0000-0001-7899-8681"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Fang","raw_affiliation_strings":["College of Logistics Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7899-8681","affiliations":[{"raw_affiliation_string":"College of Logistics Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326131","display_name":"Yongli Zhang","orcid":"https://orcid.org/0000-0002-3808-3425"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Zhang","raw_affiliation_strings":["College of Logistics Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3808-3425","affiliations":[{"raw_affiliation_string":"College of Logistics Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liang Yu","orcid":"https://orcid.org/0000-0001-8079-4055"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Yu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8079-4055","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100457190","display_name":"Jin Chen","orcid":"https://orcid.org/0000-0003-2246-7966"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Chen","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2246-7966","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5248,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81207974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9976999759674072,"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":0.9660000205039978,"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/noise","display_name":"Noise (video)","score":0.6238386631011963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.554699182510376},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5456898212432861},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.541225790977478},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5187956690788269},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5150332450866699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4807441234588623},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.470939040184021},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.4682289958000183},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.4545140266418457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4324682950973511},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.42659521102905273},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3611336946487427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22340092062950134},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13163277506828308}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6238386631011963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.554699182510376},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5456898212432861},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.541225790977478},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5187956690788269},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5150332450866699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4807441234588623},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.470939040184021},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.4682289958000183},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.4545140266418457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4324682950973511},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.42659521102905273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3611336946487427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22340092062950134},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13163277506828308},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3165281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3165281","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":0.5699999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2663887591","display_name":"\u590d\u6742\u5e72\u6270\u4e0b\u65cb\u7ffc\u5bbd\u5e26\u6c14\u52a8\u566a\u58f0\u53cd\u6f14\u6210\u50cf\u7406\u8bba\u548c\u65b9\u6cd5\u7814\u7a76","funder_award_id":"12074254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G312214656","display_name":null,"funder_award_id":"51505277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7330483213","display_name":null,"funder_award_id":"2019YFB2004600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1897892887","https://openalex.org/W1964511482","https://openalex.org/W2007221293","https://openalex.org/W2013108472","https://openalex.org/W2046674752","https://openalex.org/W2089700699","https://openalex.org/W2152586694","https://openalex.org/W2170614103","https://openalex.org/W2292417508","https://openalex.org/W2585416310","https://openalex.org/W2593128366","https://openalex.org/W2608921489","https://openalex.org/W2729550389","https://openalex.org/W2763603848","https://openalex.org/W2791514264","https://openalex.org/W2793013236","https://openalex.org/W2797657372","https://openalex.org/W2890932075","https://openalex.org/W2903052680","https://openalex.org/W2904378338","https://openalex.org/W2910872529","https://openalex.org/W2945027395","https://openalex.org/W2947142503","https://openalex.org/W2969956970","https://openalex.org/W3004640153","https://openalex.org/W3007528456","https://openalex.org/W3034245263","https://openalex.org/W3049158251","https://openalex.org/W3096100678","https://openalex.org/W3119995202","https://openalex.org/W3125887471","https://openalex.org/W3134436275","https://openalex.org/W3172512609","https://openalex.org/W3187725949","https://openalex.org/W3193694431","https://openalex.org/W3197724308","https://openalex.org/W3201753566"],"related_works":["https://openalex.org/W4381516319","https://openalex.org/W2037499216","https://openalex.org/W1506384729","https://openalex.org/W4225568567","https://openalex.org/W4286378979","https://openalex.org/W2075698830","https://openalex.org/W3216026256","https://openalex.org/W3127045225","https://openalex.org/W1982429998","https://openalex.org/W2052981742"],"abstract_inverted_index":{"The":[0,15,111,159,214],"fault":[1,13,16,34,79,109,183,188],"feature":[2,42,80],"extraction":[3,43,81],"of":[4,9,114,170,210],"rolling":[5,84],"element":[6],"bearings":[7,85],"is":[8,63,89,98,117,127,143,151,164,216],"critical":[10],"interest":[11],"for":[12,83],"diagnosis.":[14],"impulses":[17],"are":[18,190,204],"always":[19],"buried":[20],"in":[21,74,91],"strong":[22],"and":[23,36,56,66,135,201,231],"complex":[24,87,96,137],"background":[25],"noise,":[26],"which":[27,48,174],"makes":[28],"it":[29],"hard":[30],"to":[31,166,180,206],"detect":[32],"the":[33,39,51,61,95,101,108,115,125,141,146,149,153,168,171,177,182,186,193,199,208,211],"characteristics":[35],"further":[37,128],"diagnose":[38],"bearing.":[40],"Many":[41],"techniques":[44],"have":[45],"been":[46],"developed,":[47],"assumed":[49],"that":[50],"noise":[52,62,88,97,138,142],"obeys":[53],"a":[54,71,131,136],"single":[55,72],"straightforward":[57],"Gaussian":[58,102],"distribution.":[59],"However,":[60],"usually":[64],"non-Gaussian":[65],"cannot":[67],"be":[68],"characterized":[69,144],"by":[70,100,119,145,192,219],"distribution":[73],"practical":[75],"industrial":[76],"scenarios.":[77],"A":[78],"model":[82,104,150],"within":[86],"proposed":[90,172,212],"this":[92],"article,":[93],"where":[94,140],"modeled":[99,129],"mixture":[103],"(GMM),":[105],"thus":[106],"highlighting":[107],"characteristics.":[110,184],"2-D":[112],"representation":[113],"measurement":[116,126],"obtained":[118],"exploiting":[120],"cyclic":[121,225],"spectral":[122,226,228],"analysis.":[123],"Then,":[124],"as":[130],"low-rank":[132,156],"faulty":[133],"component":[134,234],"component,":[139],"GMM.":[147],"Therefore,":[148],"named":[152],"GMM":[154],"enable":[155],"(GMM-LR)":[157],"model.":[158],"variational":[160],"Bayes":[161],"inference":[162],"method":[163],"employed":[165],"estimate":[167],"posterior":[169],"model,":[173],"can":[175],"obtain":[176],"optimal":[178],"solution":[179],"characterize":[181],"Finally,":[185],"bearing":[187],"features":[189],"detected":[191],"enhanced":[194],"envelope":[195,222],"spectrum":[196,223],"(EES).":[197],"Both":[198],"synthetic":[200],"experimental":[202],"signals":[203],"studied":[205],"demonstrate":[207],"efficacy":[209],"technique.":[213],"superiority":[215],"also":[217],"validated":[218],"comparisons":[220],"with":[221],"(ES),":[224],"analysis,":[227],"kurtosis":[229],"(SK),":[230],"robust":[232],"principal":[233],"analysis":[235],"(RPCA).":[236]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
