{"id":"https://openalex.org/W4289526362","doi":"https://doi.org/10.3390/s22155744","title":"Long Short-Term Memory Neural Network with Transfer Learning and Ensemble Learning for Remaining Useful Life Prediction","display_name":"Long Short-Term Memory Neural Network with Transfer Learning and Ensemble Learning for Remaining Useful Life Prediction","publication_year":2022,"publication_date":"2022-08-01","ids":{"openalex":"https://openalex.org/W4289526362","doi":"https://doi.org/10.3390/s22155744","pmid":"https://pubmed.ncbi.nlm.nih.gov/35957301"},"language":"en","primary_location":{"id":"doi:10.3390/s22155744","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22155744","pdf_url":"https://www.mdpi.com/1424-8220/22/15/5744/pdf?version=1659347462","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/15/5744/pdf?version=1659347462","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048469290","display_name":"Lixiong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixiong Wang","raw_affiliation_strings":["National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China","School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082065346","display_name":"Hanjie Liu","orcid":"https://orcid.org/0000-0001-8453-1420"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanjie Liu","raw_affiliation_strings":["National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":"https://orcid.org/0000-0001-8453-1420","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109299664","display_name":"Zhen Pan","orcid":"https://orcid.org/0009-0006-1940-7240"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Pan","raw_affiliation_strings":["National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058159208","display_name":"Dian Fan","orcid":"https://orcid.org/0000-0002-2584-3608"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dian Fan","raw_affiliation_strings":["National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":"https://orcid.org/0000-0002-2584-3608","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017648779","display_name":"Ciming Zhou","orcid":"https://orcid.org/0000-0002-8863-7334"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ciming Zhou","raw_affiliation_strings":["National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":"https://orcid.org/0000-0002-8863-7334","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414850","display_name":"Zhigang Wang","orcid":"https://orcid.org/0000-0003-1911-5724"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Wang","raw_affiliation_strings":["School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017648779"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.1668,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91919072,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"22","issue":"15","first_page":"5744","last_page":"5744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.978600025177002,"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":0.978600025177002,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9684000015258789,"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/T13690","display_name":"Quality and Safety in Healthcare","score":0.9598000049591064,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory 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/computer-science","display_name":"Computer science","score":0.7377318739891052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6869603395462036},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6770030856132507},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6097724437713623},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6023103594779968},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5963869690895081},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5710009932518005},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5682985782623291},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48792383074760437},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.45772987604141235},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.4386771619319916},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4168703854084015},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.3520980179309845},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3392433524131775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377318739891052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6869603395462036},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6770030856132507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6097724437713623},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6023103594779968},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5963869690895081},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5710009932518005},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5682985782623291},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48792383074760437},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.45772987604141235},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.4386771619319916},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4168703854084015},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3520980179309845},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3392433524131775},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22155744","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22155744","pdf_url":"https://www.mdpi.com/1424-8220/22/15/5744/pdf?version=1659347462","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35957301","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35957301","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:b717415e3f4b4427a10127b4052eb380","is_oa":true,"landing_page_url":"https://doaj.org/article/b717415e3f4b4427a10127b4052eb380","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":"Sensors, Vol 22, Iss 15, p 5744 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/15/5744/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22155744","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 15; Pages: 5744","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9371238","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9371238","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22155744","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22155744","pdf_url":"https://www.mdpi.com/1424-8220/22/15/5744/pdf?version=1659347462","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2355648192","display_name":null,"funder_award_id":"61975157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4967498720","display_name":null,"funder_award_id":"52071245","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6087995407","display_name":"\u57fa\u4e8e\u62c9\u4e1d\u5854\u5149\u7ea4\u5149\u6805\u5e72\u6d89\u4eea\u7684\u6d77\u6d0b\u6e29\u76d0\u6df1\u4f20\u611f\u5668\u9635\u5217\u57fa\u7840\u7814\u7a76","funder_award_id":"52071245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6451131836","display_name":null,"funder_award_id":"2021YFB3202901","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G678135300","display_name":null,"funder_award_id":"2021YFB3202901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8440540349","display_name":null,"funder_award_id":"61975157","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289526362.pdf","grobid_xml":"https://content.openalex.org/works/W4289526362.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2017659646","https://openalex.org/W2018168021","https://openalex.org/W2049550263","https://openalex.org/W2096947102","https://openalex.org/W2136922672","https://openalex.org/W2193556153","https://openalex.org/W2331534005","https://openalex.org/W2471161958","https://openalex.org/W2510224130","https://openalex.org/W2552987523","https://openalex.org/W2594845301","https://openalex.org/W2758640791","https://openalex.org/W2805330622","https://openalex.org/W2896710114","https://openalex.org/W2903936867","https://openalex.org/W2907460853","https://openalex.org/W2965097336","https://openalex.org/W2997783880","https://openalex.org/W3006227838","https://openalex.org/W3021294922","https://openalex.org/W3039109528","https://openalex.org/W3195207392","https://openalex.org/W4283169343"],"related_works":["https://openalex.org/W2912153778","https://openalex.org/W2794896638","https://openalex.org/W4288108708","https://openalex.org/W2891633941","https://openalex.org/W4387163678","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2890685186","https://openalex.org/W2984436043","https://openalex.org/W4390245176"],"abstract_inverted_index":{"Prediction":[0],"of":[1,15,34,77,85,134,139],"remaining":[2],"useful":[3],"life":[4],"(RUL)":[5],"is":[6,23,143],"greatly":[7],"significant":[8],"for":[9,25,71,122],"improving":[10],"the":[11,78,83,118,123,132,135,140,154,158],"safety":[12],"and":[13,57,60,89,108,113,153],"reliability":[14],"manufacturing":[16],"equipment.":[17],"However,":[18],"in":[19],"real":[20],"industry,":[21],"it":[22,62],"difficult":[24],"RUL":[26,124],"prediction":[27,125],"models":[28],"trained":[29],"on":[30,128],"a":[31,47,99],"small":[32],"sample":[33],"faults":[35],"to":[36,93,98,116,130],"obtain":[37],"satisfactory":[38],"accuracy.":[39],"To":[40],"overcome":[41],"this":[42,44],"drawback,":[43],"paper":[45],"presents":[46],"long":[48],"short-term":[49],"memory":[50],"(LSTM)":[51],"neural":[52],"network":[53],"with":[54,63],"transfer":[55,111],"learning":[56,59,112,115],"ensemble":[58,114],"combines":[61],"an":[64],"unsupervised":[65],"health":[66],"indicator":[67],"(HI)":[68],"construction":[69],"method":[70,142,160],"remaining-useful-life":[72],"prediction.":[73],"This":[74],"study":[75],"consists":[76],"following":[79],"parts:":[80],"(1)":[81],"utilizing":[82],"characteristics":[84],"deep":[86],"belief":[87],"networks":[88,92],"self-organizing":[90],"map":[91],"translate":[94],"raw":[95],"sensor":[96],"data":[97],"synthetic":[100],"HI":[101],"that":[102,157],"can":[103],"effectively":[104],"reflect":[105],"system":[106],"health;":[107],"(2)":[109],"introducing":[110],"provide":[117],"required":[119],"degradation":[120],"mechanism":[121],"model":[126],"based":[127],"LSTM":[129],"improve":[131],"performance":[133,138,163],"model.":[136],"The":[137],"proposed":[141,159],"verified":[144],"by":[145],"two":[146],"bearing":[147],"datasets":[148],"collected":[149],"from":[150],"experimental":[151],"data,":[152],"results":[155],"show":[156],"obtains":[161],"better":[162],"than":[164],"comparable":[165],"methods.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
