{"id":"https://openalex.org/W2988161408","doi":"https://doi.org/10.1109/access.2019.2950696","title":"Train Wheel Degradation Modeling and Remaining Useful Life Prediction Based on Mixed Effect Model Considering Dependent Measurement Errors","display_name":"Train Wheel Degradation Modeling and Remaining Useful Life Prediction Based on Mixed Effect Model Considering Dependent Measurement Errors","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2988161408","doi":"https://doi.org/10.1109/access.2019.2950696","mag":"2988161408"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2950696","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950696","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08888267.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/ielx7/6287639/8600701/08888267.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100350190","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-1406-9127"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["Department of Mechanical Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1406-9127","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072830667","display_name":"Jiayu Zhou","orcid":"https://orcid.org/0000-0002-5061-5877"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Zhou","raw_affiliation_strings":["Department of Mechanical Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102705733","display_name":"Zengqiang Jiang","orcid":"https://orcid.org/0000-0002-1526-6536"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengqiang Jiang","raw_affiliation_strings":["Department of Mechanical Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1526-6536","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025253912","display_name":"E Mingcheng","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingcheng E","raw_affiliation_strings":["Department of Mechanical Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100607621","display_name":"Jing Ma","orcid":"https://orcid.org/0000-0001-9844-0298"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Ma","raw_affiliation_strings":["Department of Mechanical Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3084,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7998206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"159058","last_page":"159068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9847999811172485,"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/T10396","display_name":"Fatigue and fracture mechanics","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/computer-science","display_name":"Computer science","score":0.7132834196090698},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6300176382064819},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.5437151193618774},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4991137981414795},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4708288013935089},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.4696074426174164},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46924781799316406},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.46851038932800293},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4441835582256317},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4283074140548706},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3920467495918274},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30168604850769043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2912347614765167},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1712237000465393},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1385602056980133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1236540675163269},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.11887907981872559}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7132834196090698},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6300176382064819},{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.5437151193618774},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4991137981414795},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4708288013935089},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.4696074426174164},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46924781799316406},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.46851038932800293},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4441835582256317},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4283074140548706},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3920467495918274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30168604850769043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2912347614765167},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1712237000465393},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1385602056980133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1236540675163269},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.11887907981872559},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2950696","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950696","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08888267.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:34b6193626ab4567812a650ea5cf44eb","is_oa":true,"landing_page_url":"https://doaj.org/article/34b6193626ab4567812a650ea5cf44eb","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 159058-159068 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2950696","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950696","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08888267.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":[{"id":"https://metadata.un.org/sdg/12","score":0.5600000023841858,"display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G3001287504","display_name":null,"funder_award_id":"9184030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G319918674","display_name":null,"funder_award_id":"2019JBM053","funder_id":"https://openalex.org/F4320321392","funder_display_name":"Northwestern Polytechnical University"},{"id":"https://openalex.org/G4173846859","display_name":null,"funder_award_id":"2019JBM053","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321392","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2988161408.pdf","grobid_xml":"https://content.openalex.org/works/W2988161408.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1964940259","https://openalex.org/W1967220704","https://openalex.org/W1978370513","https://openalex.org/W1982286208","https://openalex.org/W1985827874","https://openalex.org/W1996636620","https://openalex.org/W2006266687","https://openalex.org/W2029709134","https://openalex.org/W2043129860","https://openalex.org/W2055873761","https://openalex.org/W2077600585","https://openalex.org/W2077983750","https://openalex.org/W2084654355","https://openalex.org/W2110007571","https://openalex.org/W2151038992","https://openalex.org/W2160118356","https://openalex.org/W2289764905","https://openalex.org/W2308000737","https://openalex.org/W2558515677","https://openalex.org/W2621329470","https://openalex.org/W2769241397","https://openalex.org/W2770537477","https://openalex.org/W2886613520","https://openalex.org/W2897943666","https://openalex.org/W2967823247","https://openalex.org/W4206439534","https://openalex.org/W4212767417","https://openalex.org/W4239218596","https://openalex.org/W4299419703"],"related_works":["https://openalex.org/W1676609285","https://openalex.org/W3148934225","https://openalex.org/W2351648145","https://openalex.org/W2038165226","https://openalex.org/W2052845382","https://openalex.org/W4254549582","https://openalex.org/W2148483050","https://openalex.org/W3124109721","https://openalex.org/W4395078573","https://openalex.org/W2916152223"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,55],"predict":[3],"the":[4,41,45,49,57,66,69,97,111,122],"remaining":[5,82,114],"useful":[6,83,115],"life":[7,84,116],"of":[8,35,48,60,113,124,129],"rail":[9],"train":[10,130],"wheels":[11],"progressively":[12],"under":[13],"dependent":[14,101],"measurement":[15,102],"errors,":[16],"an":[17],"extended":[18],"mixed":[19],"effect":[20,51],"degradation":[21,107],"model":[22],"and":[23,32,44,81,86,109,126],"Bayesian":[24,67],"parameter":[25,79],"update":[26],"framework":[27],"is":[28,53,73],"proposed.":[29],"The":[30,91],"heteroscedastic":[31],"correlated":[33],"structure":[34],"error":[36,50],"terms":[37],"are":[38,89],"considered":[39],"in":[40],"modeling":[42,108],"process,":[43],"spectral":[46],"decomposition":[47],"matrix":[52],"used":[54],"realize":[56],"independent":[58],"conversion":[59],"online":[61,70],"monitoring":[62,71],"data.":[63],"Based":[64],"on":[65],"method,":[68],"data":[72],"merged":[74],"with":[75],"historical":[76],"knowledge":[77],"for":[78],"updating,":[80],"prediction":[85],"reliability":[87],"evaluation":[88],"performed.":[90],"case":[92],"study":[93],"results":[94,119],"show":[95],"that":[96],"proposed":[98],"method":[99],"considering":[100],"errors":[103],"could":[104],"provide":[105],"adequate":[106],"improve":[110],"accuracy":[112],"prediction.":[117],"These":[118],"will":[120],"help":[121],"development":[123],"prognostic":[125],"health":[127],"management":[128],"wheel.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
