{"id":"https://openalex.org/W4367555117","doi":"https://doi.org/10.1587/transinf.2022dll0006","title":"Bearing Remaining Useful Life Prediction Using 2D Attention Residual Network","display_name":"Bearing Remaining Useful Life Prediction Using 2D Attention Residual Network","publication_year":2023,"publication_date":"2023-04-30","ids":{"openalex":"https://openalex.org/W4367555117","doi":"https://doi.org/10.1587/transinf.2022dll0006"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2022dll0006","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022dll0006","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DLL0006/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DLL0006/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091616389","display_name":"Wenrong Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]},{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenrong XIAO","raw_affiliation_strings":["Hubei Key Laboratory of Hydroelectric Machinery Design &amp; Maintenance, China Three Gorges University","School of Mechanical Engineering, Guizhou University of Engineering Science"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Hydroelectric Machinery Design &amp; Maintenance, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University of Engineering Science","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060969277","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-7776-4549"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]},{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong CHEN","raw_affiliation_strings":["Hubei Key Laboratory of Hydroelectric Machinery Design &amp; Maintenance, China Three Gorges University","School of Mechanical Engineering, Guizhou University of Engineering Science"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Hydroelectric Machinery Design &amp; Maintenance, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University of Engineering Science","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068749298","display_name":"Suqin Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suqin GUO","raw_affiliation_strings":["Fujian Great Power Science and Technology Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Fujian Great Power Science and Technology Co., Ltd","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003103717","display_name":"Kun Chen","orcid":"https://orcid.org/0000-0002-1584-1086"},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun CHEN","raw_affiliation_strings":["Fujian Great Power Science and Technology Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Fujian Great Power Science and Technology Co., Ltd","institution_ids":["https://openalex.org/I4210111970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091616389"],"corresponding_institution_ids":["https://openalex.org/I161350542","https://openalex.org/I178232147"],"apc_list":null,"apc_paid":null,"fwci":1.4509,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81284504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"E106.D","issue":"5","first_page":"818","last_page":"820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9966999888420105,"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":0.9966999888420105,"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":0.9693999886512756,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/residual","display_name":"Residual","score":0.8923152685165405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8128339052200317},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.6990835070610046},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.6950371265411377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.586353063583374},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5177177786827087},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4574032127857208},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45668283104896545},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4551997780799866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3738602101802826},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36367228627204895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35586169362068176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23191207647323608}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8923152685165405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128339052200317},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.6990835070610046},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.6950371265411377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.586353063583374},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5177177786827087},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4574032127857208},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45668283104896545},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4551997780799866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3738602101802826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36367228627204895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35586169362068176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23191207647323608},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2022dll0006","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022dll0006","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DLL0006/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2022dll0006","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022dll0006","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DLL0006/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G1028685744","display_name":null,"funder_award_id":"51975324","funder_id":"https://openalex.org/F4320313620","funder_display_name":"Hubei Provincial Department of Education"},{"id":"https://openalex.org/G1257152019","display_name":null,"funder_award_id":"2021036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5055643999","display_name":null,"funder_award_id":"51975324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5881942141","display_name":null,"funder_award_id":"202103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6048975038","display_name":null,"funder_award_id":"2022003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320313620","display_name":"Hubei Provincial Department of Education","ror":"https://ror.org/05yaa9j15"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327038","display_name":"State Key Laboratory for Manufacturing Systems Engineering","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367555117.pdf"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2194775991","https://openalex.org/W2603225712","https://openalex.org/W2772084711","https://openalex.org/W2795550564","https://openalex.org/W2884585870","https://openalex.org/W4230036901","https://openalex.org/W4237042252"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W165915117","https://openalex.org/W2326995835","https://openalex.org/W2743859443","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2477150073","https://openalex.org/W2019547100","https://openalex.org/W2972212393"],"abstract_inverted_index":{"An":[0],"attention":[1,23,26,44,58,78],"residual":[2,33,37,45,79],"network":[3,39,54,86],"with":[4],"triple":[5],"feature":[6],"as":[7,73],"input":[8,75],"is":[9,71,110,123],"proposed":[10],"to":[11,40,59],"predict":[12],"the":[13,21,32,36,49,60,64,68,74,77,83,90,100,103,121],"remaining":[14],"useful":[15],"life":[16],"(RUL)":[17],"of":[18,35,63,76,93,102,105,115],"bearings.":[19],"First,":[20],"channel":[22],"and":[24,97,125,131],"spatial":[25],"are":[27],"connected":[28],"in":[29,135],"series":[30],"into":[31],"connection":[34],"neural":[38],"obtain":[41],"a":[42,113],"new":[43],"module,":[46],"so":[47,81],"that":[48,82],"newly":[50],"constructed":[51],"deep":[52,84],"learning":[53,85],"can":[55,87],"better":[56,88,98],"pay":[57],"weak":[61],"changes":[62],"bearing":[65,94],"state.":[66],"Secondly,":[67],"\u201ctriple":[69],"feature\u201d":[70],"used":[72],"network,":[80],"grasp":[89],"change":[91],"trend":[92],"running":[95],"state,":[96],"realize":[99],"prediction":[101,129],"RUL":[104,136],"bearing.":[106],"Finally,":[107],"The":[108,118],"method":[109,122],"verified":[111],"by":[112],"set":[114],"experimental":[116],"data.":[117],"results":[119],"show":[120],"simple":[124],"effective,":[126],"has":[127],"high":[128],"accuracy,":[130],"reduces":[132],"manual":[133],"intervention":[134],"prediction.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
