{"id":"https://openalex.org/W2956272337","doi":"https://doi.org/10.1109/access.2019.2929271","title":"Real-Time Bearing Remaining Useful Life Estimation Based on the Frozen Convolutional and Activated Memory Neural Network","display_name":"Real-Time Bearing Remaining Useful Life Estimation Based on the Frozen Convolutional and Activated Memory Neural Network","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2956272337","doi":"https://doi.org/10.1109/access.2019.2929271","mag":"2956272337"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2929271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929271","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08764550.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08764550.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101910695","display_name":"Zesheng Chen","orcid":"https://orcid.org/0000-0003-0073-5712"},"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":true,"raw_author_name":"Zesheng Chen","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0073-5712","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":"middle","author":{"id":"https://openalex.org/A5068316504","display_name":"Xiaotong Tu","orcid":"https://orcid.org/0000-0002-7190-2429"},"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":"Xiaotong Tu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"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":"middle","author":{"id":"https://openalex.org/A5100715874","display_name":"Yue Hu","orcid":"https://orcid.org/0000-0002-8090-9112"},"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":"Yue Hu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"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/A5108972993","display_name":"Fucai Li","orcid":null},"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":"Fucai Li","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"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":4,"corresponding_author_ids":["https://openalex.org/A5101910695"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.518,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82930516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"96583","last_page":"96593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.996999979019165,"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/T11138","display_name":"Tribology and Lubrication Engineering","score":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.821154773235321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7775073051452637},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.6225097179412842},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6056040525436401},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5900940299034119},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5453166961669922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.51643306016922},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5089912414550781},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5034062266349792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.446250319480896}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.821154773235321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775073051452637},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.6225097179412842},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6056040525436401},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5900940299034119},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5453166961669922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.51643306016922},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5089912414550781},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5034062266349792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.446250319480896},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2929271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929271","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08764550.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ae3399e0ec954709be4ad60b83ce4bef","is_oa":true,"landing_page_url":"https://doaj.org/article/ae3399e0ec954709be4ad60b83ce4bef","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 96583-96593 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2929271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929271","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08764550.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G3894817770","display_name":null,"funder_award_id":"2018ZX04011001","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G5728350609","display_name":null,"funder_award_id":"2018ZX04011001","funder_id":"https://openalex.org/F4320322437","funder_display_name":"National Science and Technology Development Agency"},{"id":"https://openalex.org/G6012467281","display_name":null,"funder_award_id":"11427801","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/F4320322437","display_name":"National Science and Technology Development Agency","ror":"https://ror.org/04vy95b61"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2956272337.pdf","grobid_xml":"https://content.openalex.org/works/W2956272337.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1978453339","https://openalex.org/W1990003015","https://openalex.org/W2014685668","https://openalex.org/W2021150653","https://openalex.org/W2037325790","https://openalex.org/W2045186954","https://openalex.org/W2055873761","https://openalex.org/W2120841219","https://openalex.org/W2133832971","https://openalex.org/W2154579312","https://openalex.org/W2319025975","https://openalex.org/W2415594836","https://openalex.org/W2463813940","https://openalex.org/W2511374729","https://openalex.org/W2591055632","https://openalex.org/W2592864539","https://openalex.org/W2597481444","https://openalex.org/W2603225712","https://openalex.org/W2622826443","https://openalex.org/W2734888906","https://openalex.org/W2773549135","https://openalex.org/W2794284562","https://openalex.org/W2808622270","https://openalex.org/W2810292802","https://openalex.org/W2889809771","https://openalex.org/W2912581782","https://openalex.org/W6654422401","https://openalex.org/W6682751323","https://openalex.org/W6691840795","https://openalex.org/W6734394903","https://openalex.org/W6736412012"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2035937180","https://openalex.org/W4391621807","https://openalex.org/W3196220745","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W2964954556","https://openalex.org/W3103566983","https://openalex.org/W3088721469"],"abstract_inverted_index":{"Bearings":[0],"are":[1,136],"widely":[2],"used":[3],"in":[4,152],"rotating":[5],"machinery,":[6],"such":[7],"as":[8],"aircraft":[9],"engines":[10],"and":[11,26,70,73,116,124,148],"wind":[12],"turbines.":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"proposed":[18,45,108,142],"a":[19],"new":[20],"data-driven":[21],"method":[22,46,143],"called":[23],"frozen":[24],"convolution":[25],"activated":[27],"memory":[28],"network":[29,56,109],"(FCAMN)":[30],"for":[31],"bearing":[32,100],"remaining":[33],"useful":[34],"life":[35],"(RUL)":[36],"estimation":[37],"based":[38],"on":[39,119,129],"the":[40,52,62,68,74,80,88,92,98,104,107,114,120,125,130,141],"deep":[41],"neural":[42,55,82],"network.":[43],"The":[44,134],"is":[47,57,77],"composed":[48],"of":[49],"two":[50],"parts:":[51],"multi-scale":[53],"convolutional":[54,89],"carried":[58],"out":[59],"to":[60,65,86,96,138],"pre-train":[61],"raw":[63],"data":[64],"directly":[66],"obtain":[67],"global":[69,115],"local":[71,117],"features,":[72],"second":[75],"step":[76],"accomplished":[78],"by":[79],"convolutional-memory":[81],"network,":[83],"which":[84],"enables":[85],"connect":[87],"layer":[90,94],"with":[91,103],"long-short-time-memory":[93],"together":[95],"predict":[97],"continuous":[99],"RUL.":[101],"Compared":[102],"traditional":[105],"networks,":[106],"can":[110],"additionally":[111],"extract":[112],"both":[113],"information":[118,128],"vertical":[121],"feature":[122],"axis":[123],"associated":[126],"context":[127],"horizontal":[131],"time":[132],"axis.":[133],"experiments":[135],"conducted":[137],"prove":[139],"that":[140],"requires":[144],"fewer":[145],"training":[146],"samples":[147],"outperforms":[149],"other":[150],"methods":[151],"RUL":[153],"estimation.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
