{"id":"https://openalex.org/W4388279820","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295860","title":"Hierarchical C-BRB model based reliability assessment of bearings","display_name":"Hierarchical C-BRB model based reliability assessment of bearings","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4388279820","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295860"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess58597.2023.10295860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/safeprocess58597.2023.10295860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087178856","display_name":"Shuangyi Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuangyi Ye","raw_affiliation_strings":["Northwestern Polytechnical University,School of Automation,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Automation,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016250464","display_name":"Xiaoxiang Hu","orcid":"https://orcid.org/0000-0001-7047-1949"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiang Hu","raw_affiliation_strings":["Northwestern Polytechnical University,School of Automation,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Automation,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377137","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-2293-1709"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Xi'an University of Technology,School of Automation and Information Engineering,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Technology,School of Automation and Information Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367951","display_name":"Shaohua Li","orcid":"https://orcid.org/0000-0003-3175-799X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Li","raw_affiliation_strings":["Northwestern Polytechnical University,School of Automation,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Automation,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038044630","display_name":"Kejun Dong","orcid":"https://orcid.org/0009-0004-7517-3392"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kejun Dong","raw_affiliation_strings":["Northwestern Polytechnical University,School of Automation,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Automation,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087178856"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19040371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14368","display_name":"Evaluation and Optimization Models","score":0.9904000163078308,"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/T14368","display_name":"Evaluation and Optimization Models","score":0.9904000163078308,"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/T11357","display_name":"Risk and Safety Analysis","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6268808841705322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5936354994773865},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5854766368865967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5142035484313965},{"id":"https://openalex.org/keywords/copula","display_name":"Copula (linguistics)","score":0.5080604553222656},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.49176815152168274},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41195639967918396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3459353446960449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28828370571136475},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2678202986717224},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.0900353491306305}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6268808841705322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5936354994773865},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5854766368865967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5142035484313965},{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.5080604553222656},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.49176815152168274},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41195639967918396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3459353446960449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28828370571136475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2678202986717224},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0900353491306305},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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":1,"locations":[{"id":"doi:10.1109/safeprocess58597.2023.10295860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/safeprocess58597.2023.10295860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2109034551","https://openalex.org/W2143804876","https://openalex.org/W2167801338","https://openalex.org/W2766021348","https://openalex.org/W2805721894","https://openalex.org/W3112266784","https://openalex.org/W4250908292"],"related_works":["https://openalex.org/W4254184784","https://openalex.org/W1502836838","https://openalex.org/W2351412012","https://openalex.org/W2117969153","https://openalex.org/W2066826592","https://openalex.org/W1967916041","https://openalex.org/W3141866558","https://openalex.org/W1000855058","https://openalex.org/W2540241261","https://openalex.org/W1998414005"],"abstract_inverted_index":{"Hierarchical":[0],"Copula":[1,75],"and":[2,22,38,55,124],"Belief":[3],"Rule":[4],"Base":[5],"(CBRB)":[6],"model":[7,33,76,106,132],"based":[8],"reliability":[9,31,127],"evaluation":[10,101,128],"of":[11,25,34,47,72,92],"bearings":[12,35],"is":[13,36,59,68,107,133],"proposed":[14],"to":[15,79,98,119],"address":[16],"the":[17,23,29,45,62,73,87,90,100,110,121,125,131],"correlation":[18,63],"among":[19],"indicator":[20,53,66],"factors":[21,54],"problem":[24],"combinatorial":[26],"explosion.":[27],"Firstly,":[28],"hierarchical":[30,104],"assessment":[32],"established":[37],"divided":[39],"into":[40],"three":[41],"sub-rule":[42,51],"bases.":[43],"Then":[44],"degree":[46],"correspondence":[48],"between":[49,65],"each":[50,81],"base's":[52],"corresponding":[56],"reference":[57],"value":[58],"calculated.":[60],"Next":[61],"coefficient":[64],"information":[67],"obtained.":[69],"The":[70,103],"parameters":[71,123],"ideal":[74],"are":[77],"obtained":[78],"determine":[80],"rule's":[82],"activation":[83],"weight.":[84],"Integrating":[85],"all":[86],"rules":[88],"through":[89],"use":[91],"an":[93],"evidential":[94],"reasoning":[95],"(ER)":[96],"algorithm":[97,118],"get":[99],"results.":[102,129],"C-BRB":[105],"optimized":[108],"using":[109,135],"projection-based":[111],"covariance":[112],"matrix":[113],"adaptive":[114],"evolution":[115],"strategy":[116],"(P-CMA-ES)":[117],"produce":[120],"optimal":[122],"final":[126],"Finally,":[130],"tested":[134],"a":[136],"bearing":[137],"dataset.":[138]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
