{"id":"https://openalex.org/W3153320774","doi":"https://doi.org/10.1109/tim.2021.3072131","title":"Memory Residual Regression Autoencoder for Bearing Fault Detection","display_name":"Memory Residual Regression Autoencoder for Bearing Fault Detection","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3153320774","doi":"https://doi.org/10.1109/tim.2021.3072131","mag":"3153320774"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3072131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3072131","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/A5005526322","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-2313-8104"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Huang","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032844333","display_name":"Guangrui Wen","orcid":"https://orcid.org/0000-0002-2133-9594"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangrui Wen","raw_affiliation_strings":["Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi\u2019an, China","School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an, China","School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi\u2019an, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010450555","display_name":"Shuzhi Dong","orcid":"https://orcid.org/0000-0002-9803-8562"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuzhi Dong","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064743925","display_name":"Haoxuan Zhou","orcid":"https://orcid.org/0000-0002-8294-3912"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxuan Zhou","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038915119","display_name":"Zihao Lei","orcid":"https://orcid.org/0000-0001-7523-6235"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Lei","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004379956","display_name":"Zhifen Zhang","orcid":"https://orcid.org/0000-0003-2086-6808"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifen Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779843","display_name":"Xuefeng Chen","orcid":"https://orcid.org/0000-0002-0130-3172"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Chen","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiao-tong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiao-tong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005526322"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":7.3421,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.97618599,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9927999973297119,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9519000053405762,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8192665576934814},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7860397100448608},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7806776762008667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6736497282981873},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.637336790561676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6131433248519897},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5338730812072754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5199998021125793},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5183811783790588},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.49879932403564453},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4971020519733429},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4877224862575531},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.44826871156692505},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.44197404384613037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3655093312263489},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35916459560394287},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2059398591518402},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19218748807907104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1724003255367279},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15454018115997314}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8192665576934814},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7860397100448608},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7806776762008667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736497282981873},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.637336790561676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6131433248519897},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5338730812072754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5199998021125793},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5183811783790588},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.49879932403564453},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4971020519733429},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4877224862575531},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.44826871156692505},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.44197404384613037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3655093312263489},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35916459560394287},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2059398591518402},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19218748807907104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1724003255367279},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15454018115997314},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3072131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3072131","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G3999672608","display_name":null,"funder_award_id":"2020YFB1710002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G544333107","display_name":null,"funder_award_id":"51775409","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/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":67,"referenced_works":["https://openalex.org/W1672619609","https://openalex.org/W1959608418","https://openalex.org/W1963802829","https://openalex.org/W2005523062","https://openalex.org/W2015887370","https://openalex.org/W2019505419","https://openalex.org/W2031359852","https://openalex.org/W2105497548","https://openalex.org/W2118020555","https://openalex.org/W2120390927","https://openalex.org/W2220801911","https://openalex.org/W2296719434","https://openalex.org/W2332485813","https://openalex.org/W2416940920","https://openalex.org/W2417225786","https://openalex.org/W2519091744","https://openalex.org/W2599354622","https://openalex.org/W2601686579","https://openalex.org/W2603304445","https://openalex.org/W2763583057","https://openalex.org/W2787947370","https://openalex.org/W2803697594","https://openalex.org/W2890235427","https://openalex.org/W2896880393","https://openalex.org/W2904460913","https://openalex.org/W2909886097","https://openalex.org/W2925209208","https://openalex.org/W2925312408","https://openalex.org/W2936150723","https://openalex.org/W2945027395","https://openalex.org/W2953262354","https://openalex.org/W2954278343","https://openalex.org/W2958041981","https://openalex.org/W2963045681","https://openalex.org/W2964294029","https://openalex.org/W2973001054","https://openalex.org/W2973942754","https://openalex.org/W2978834409","https://openalex.org/W2987228832","https://openalex.org/W2989818023","https://openalex.org/W2990559999","https://openalex.org/W2990979548","https://openalex.org/W2991632793","https://openalex.org/W2993552823","https://openalex.org/W2996650494","https://openalex.org/W2998423983","https://openalex.org/W3006585575","https://openalex.org/W3007048760","https://openalex.org/W3008317833","https://openalex.org/W3014146531","https://openalex.org/W3016160231","https://openalex.org/W3033580259","https://openalex.org/W3034648032","https://openalex.org/W3037944824","https://openalex.org/W3042726568","https://openalex.org/W3048602189","https://openalex.org/W3102904972","https://openalex.org/W3153872861","https://openalex.org/W6637269724","https://openalex.org/W6640963894","https://openalex.org/W6675613107","https://openalex.org/W6748495906","https://openalex.org/W6751494907","https://openalex.org/W6770867806","https://openalex.org/W6771573495","https://openalex.org/W6782196570","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W2918377632","https://openalex.org/W3202913553","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,19,53,141],"is":[2,45],"the":[3,6,49,68,73,85,92,99,102,117,127,144,151,165],"cornerstone":[4],"for":[5,17,163],"health":[7],"management":[8],"of":[9,51,72,84,95,101,110,154,168],"rolling":[10],"element":[11],"bearings.":[12],"The":[13,58,78,123],"unsupervised":[14],"learning":[15],"model":[16,87,130],"anomaly":[18,52,106,140],"driven":[20],"only":[21],"by":[22],"normal":[23],"data":[24,113],"has":[25],"received":[26],"increasing":[27],"attention":[28,149],"in":[29,54,105],"recent":[30],"years.":[31],"In":[32],"this":[33],"article,":[34],"an":[35],"innovative":[36],"deep-learning-based":[37,139],"model,":[38],"namely,":[39],"memory":[40,59,75],"residual":[41,76],"regression":[42],"autoencoder":[43],"(MRRAE),":[44],"developed":[46],"to":[47,66,90,150],"improve":[48],"accuracy":[50],"bearing":[55,155],"condition":[56,94],"monitoring.":[57],"module":[60],"and":[61,81,121,138,158],"autoregressive":[62],"estimator":[63],"are":[64,88,119],"applied":[65],"calculate":[67],"probability":[69],"density":[70],"distribution":[71],"latent":[74],"representation.":[77],"reconstruction":[79],"errors":[80],"surprisal":[82],"values":[83],"proposed":[86,103,128,145],"used":[89],"detect":[91],"abnormal":[93],"bearing.":[96],"To":[97],"verify":[98],"superiority":[100],"method":[104,146],"detection,":[107],"two":[108],"sets":[109],"run-to-failure":[111],"experimental":[112],"set":[114],"gathered":[115],"from":[116],"laboratories":[118],"studied":[120],"analyzed.":[122],"result":[124],"demonstrates":[125],"that":[126],"MRRAE":[129],"achieves":[131],"superior":[132],"performance":[133],"compared":[134],"with":[135],"several":[136],"conventional":[137],"methods.":[142],"Furthermore,":[143],"pays":[147],"close":[148],"special":[152],"structure":[153],"vibration":[156],"signal":[157],"provides":[159],"a":[160],"new":[161],"way":[162],"explaining":[164],"decision-making":[166],"processes":[167],"deep":[169],"neural":[170],"networks.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}