{"id":"https://openalex.org/W4387365349","doi":"https://doi.org/10.3390/s23198254","title":"Transfer Prediction Method of Bearing Remaining Useful Life Based on Deep Feature Evaluation under Different Working Conditions","display_name":"Transfer Prediction Method of Bearing Remaining Useful Life Based on Deep Feature Evaluation under Different Working Conditions","publication_year":2023,"publication_date":"2023-10-05","ids":{"openalex":"https://openalex.org/W4387365349","doi":"https://doi.org/10.3390/s23198254","pmid":"https://pubmed.ncbi.nlm.nih.gov/37837084"},"language":"en","primary_location":{"id":"doi:10.3390/s23198254","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23198254","pdf_url":"https://www.mdpi.com/1424-8220/23/19/8254/pdf?version=1696495202","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/1424-8220/23/19/8254/pdf?version=1696495202","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101857226","display_name":"Yongzhi Liu","orcid":"https://orcid.org/0000-0002-2376-5124"},"institutions":[{"id":"https://openalex.org/I4210138370","display_name":"Liupanshui Normal University","ror":"https://ror.org/038d7ve10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210138370"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongzhi Liu","raw_affiliation_strings":["School of Mining and Mechanical Engineering, Liupanshui Normal University, Liupanshui 553004, China"],"raw_orcid":"https://orcid.org/0000-0002-2376-5124","affiliations":[{"raw_affiliation_string":"School of Mining and Mechanical Engineering, Liupanshui Normal University, Liupanshui 553004, China","institution_ids":["https://openalex.org/I4210138370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034723281","display_name":"Yisheng Zou","orcid":"https://orcid.org/0000-0003-0639-7064"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisheng Zou","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 610031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100323955","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-3615-5616"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China"],"raw_orcid":"https://orcid.org/0000-0002-3615-5616","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101857226"],"corresponding_institution_ids":["https://openalex.org/I4210138370"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.223,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79591154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"23","issue":"19","first_page":"8254","last_page":"8254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9889000058174133,"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"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/consistency","display_name":"Consistency (knowledge bases)","score":0.6496604084968567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6301458477973938},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.620103657245636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.616376519203186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6113085746765137},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5968148112297058},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5013303756713867},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4814826250076294},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47067791223526},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43338441848754883},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43070077896118164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3474927544593811},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09540766477584839}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6496604084968567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301458477973938},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.620103657245636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.616376519203186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6113085746765137},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5968148112297058},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5013303756713867},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4814826250076294},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47067791223526},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43338441848754883},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43070077896118164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3474927544593811},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09540766477584839},{"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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s23198254","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23198254","pdf_url":"https://www.mdpi.com/1424-8220/23/19/8254/pdf?version=1696495202","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:37837084","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37837084","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:pubmedcentral.nih.gov:10575373","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10575373","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10575373/pdf/sensors-23-08254.pdf","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"},{"id":"pmh:oai:doaj.org/article:2ee9bb422f504327a3d91e1290e7dc63","is_oa":true,"landing_page_url":"https://doaj.org/article/2ee9bb422f504327a3d91e1290e7dc63","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 23, Iss 19, p 8254 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23198254","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23198254","pdf_url":"https://www.mdpi.com/1424-8220/23/19/8254/pdf?version=1696495202","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":[{"id":"https://metadata.un.org/sdg/1","score":0.5099999904632568,"display_name":"No poverty"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326674","display_name":"Department of Education of Guizhou Province","ror":null},{"id":"https://openalex.org/F4320328116","display_name":"Liupanshui Normal University","ror":"https://ror.org/038d7ve10"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387365349.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1973665104","https://openalex.org/W1992113394","https://openalex.org/W2003205626","https://openalex.org/W2005523062","https://openalex.org/W2019505419","https://openalex.org/W2025237660","https://openalex.org/W2107274185","https://openalex.org/W2203091266","https://openalex.org/W2332196031","https://openalex.org/W2342141692","https://openalex.org/W2463813940","https://openalex.org/W2523377413","https://openalex.org/W2591055632","https://openalex.org/W2603225712","https://openalex.org/W2773549135","https://openalex.org/W2792916989","https://openalex.org/W2920966068","https://openalex.org/W2945413072","https://openalex.org/W2981973403","https://openalex.org/W2998630383","https://openalex.org/W2999342951","https://openalex.org/W3045857695","https://openalex.org/W3090370846","https://openalex.org/W3117204221","https://openalex.org/W6703967182"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W4375928479","https://openalex.org/W3131673289","https://openalex.org/W3198847674","https://openalex.org/W3103940333"],"abstract_inverted_index":{"In":[0,100],"the":[1,13,18,24,28,32,37,40,77,117,129],"existing":[2,130],"bearing":[3,60,89,131],"remaining":[4],"useful":[5],"life":[6,90],"(RUL)-prediction":[7],"model":[8,74,107],"based":[9,62,92,108],"on":[10,49,63,93,109],"deep":[11,67],"learning,":[12],"advantages":[14],"and":[15,66,86,133],"disadvantages":[16],"of":[17,31,42,59,83],"extracted":[19],"features":[20,33],"are":[21],"evaluated":[22],"by":[23],"prediction":[25,50,57,91,134],"accuracy;":[26],"thus,":[27],"analytical":[29],"ability":[30],"is":[34,70,113,126],"poor.":[35],"At":[36],"same":[38],"time,":[39],"change":[41],"working":[43],"conditions":[44],"has":[45],"a":[46,56,81,103],"great":[47],"influence":[48],"accuracy.":[51],"To":[52],"overcome":[53,116],"these":[54],"limitations,":[55],"method":[58,82,125],"RUL":[61],"feature":[64,84,110],"evaluation":[65,85,132],"transfer":[68,106],"learning":[69],"proposed.":[71],"The":[72],"proposed":[73,114],"can":[75],"solve":[76],"above":[78],"problems:":[79],"(1)":[80],"selection":[87],"for":[88],"trend":[94],"consistency":[95],"index":[96],"was":[97],"designed.":[98],"(2)":[99],"this":[101,124],"study,":[102],"domain":[104],"adversarial":[105],"condition":[111],"mapping":[112],"to":[115,128],"second":[118],"limitation.":[119],"Experimental":[120],"results":[121],"show":[122],"that":[123],"superior":[127],"methods.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
