{"id":"https://openalex.org/W4404696186","doi":"https://doi.org/10.1080/0951192x.2024.2426134","title":"Health state grading evaluation of multi-machine production line based on bi-Kmeans degraded hidden Markov model","display_name":"Health state grading evaluation of multi-machine production line based on bi-Kmeans degraded hidden Markov model","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4404696186","doi":"https://doi.org/10.1080/0951192x.2024.2426134"},"language":"en","primary_location":{"id":"doi:10.1080/0951192x.2024.2426134","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2024.2426134","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","raw_type":"journal-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/A5103723652","display_name":"Liu Weichen","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210100281","display_name":"Jangan University","ror":"https://ror.org/00jz5ch17","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210100281"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Liu Weichen","raw_affiliation_strings":["Chang\u2019an University","Key Laboratory of Road Construction Technology and Equipment of MOE, Chang\u2019an University, Xi\u2019an, China","Institute of Smart Manufacturing Systems Engineering, Chang\u2019an University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chang\u2019an University","institution_ids":["https://openalex.org/I4210100281"]},{"raw_affiliation_string":"Key Laboratory of Road Construction Technology and Equipment of MOE, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"Institute of Smart Manufacturing Systems Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hui Jizhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210100281","display_name":"Jangan University","ror":"https://ror.org/00jz5ch17","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210100281"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Hui Jizhuang","raw_affiliation_strings":["Chang\u2019an University","Institute of Smart Manufacturing Systems Engineering, Chang\u2019an University, Xi\u2019an, China","Key Laboratory of Road Construction Technology and Equipment of MOE, Chang\u2019an University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chang\u2019an University","institution_ids":["https://openalex.org/I4210100281"]},{"raw_affiliation_string":"Institute of Smart Manufacturing Systems Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"Key Laboratory of Road Construction Technology and Equipment of MOE, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028745512","display_name":"Kai Ding","orcid":"https://orcid.org/0000-0002-8121-0258"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210100281","display_name":"Jangan University","ror":"https://ror.org/00jz5ch17","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210100281"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Ding Kai","raw_affiliation_strings":["Chang\u2019an University","Institute of Smart Manufacturing Systems Engineering, Chang\u2019an University, Xi\u2019an, China","Key Laboratory of Road Construction Technology and Equipment of MOE, Chang\u2019an University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chang\u2019an University","institution_ids":["https://openalex.org/I4210100281"]},{"raw_affiliation_string":"Institute of Smart Manufacturing Systems Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"Key Laboratory of Road Construction Technology and Equipment of MOE, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhang Fuqiang","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210100281","display_name":"Jangan University","ror":"https://ror.org/00jz5ch17","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210100281"]}],"countries":["CN","KR"],"is_corresponding":true,"raw_author_name":"Zhang Fuqiang","raw_affiliation_strings":["Chang\u2019an University","Key Laboratory of Road Construction Technology and Equipment of MOE, Chang\u2019an University, Xi\u2019an, China","Institute of Smart Manufacturing Systems Engineering, Chang\u2019an University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chang\u2019an University","institution_ids":["https://openalex.org/I4210100281"]},{"raw_affiliation_string":"Key Laboratory of Road Construction Technology and Equipment of MOE, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"Institute of Smart Manufacturing Systems Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25355098","https://openalex.org/I4210100281"],"apc_list":null,"apc_paid":null,"fwci":0.8689,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84262016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"38","issue":"10","first_page":"1364","last_page":"1376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.8823999762535095,"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"}},"topics":[{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.8823999762535095,"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"}},{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.8733000159263611,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.8651999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5952016711235046},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.5931506752967834},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.5174270868301392},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4826096296310425},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4773949682712555},{"id":"https://openalex.org/keywords/production-line","display_name":"Production line","score":0.43726491928100586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37325119972229004},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.336811900138855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29281604290008545},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21570435166358948},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.11316430568695068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5952016711235046},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.5931506752967834},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.5174270868301392},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4826096296310425},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4773949682712555},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.43726491928100586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37325119972229004},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.336811900138855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29281604290008545},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21570435166358948},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.11316430568695068},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0951192x.2024.2426134","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2024.2426134","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7984562917","display_name":null,"funder_award_id":"2021YFB3301702","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1967719907","https://openalex.org/W2022299806","https://openalex.org/W2076704263","https://openalex.org/W2339872282","https://openalex.org/W2799611748","https://openalex.org/W2980527392","https://openalex.org/W2994778475","https://openalex.org/W3004440491","https://openalex.org/W3023647578","https://openalex.org/W3119081482","https://openalex.org/W3127692495","https://openalex.org/W3132180333","https://openalex.org/W3180409751","https://openalex.org/W3182682018","https://openalex.org/W3199081584","https://openalex.org/W4205578601","https://openalex.org/W4206901619","https://openalex.org/W4207083242","https://openalex.org/W4210501882","https://openalex.org/W4220692763","https://openalex.org/W4283747377","https://openalex.org/W4303858252","https://openalex.org/W4307886385","https://openalex.org/W4321349112","https://openalex.org/W4367054860","https://openalex.org/W4387083563","https://openalex.org/W4387142730","https://openalex.org/W4387432361","https://openalex.org/W4399471435"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2294335174","https://openalex.org/W2025614924","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W2559776840"],"abstract_inverted_index":{"Health":[0],"state":[1,52,62,161],"evaluation":[2,64,135],"of":[3,9,30,42,49,92,100,162],"machines":[4,144],"is":[5],"a":[6,16,58,72,139],"crucial":[7],"component":[8],"smart":[10],"manufacturing":[11],"technology":[12],"as":[13,145],"it":[14,126],"provides":[15],"prerequisite":[17],"for":[18],"predictive":[19],"maintenance.":[20],"However,":[21],"challenges":[22],"arise":[23],"not":[24],"only":[25],"from":[26,38],"the":[27,39,43,47,68,89,93,97,101,107,113,121,129,148,159,163,168],"vast":[28],"amount":[29],"data":[31,91],"required":[32],"to":[33,87,119,128,177],"train":[34],"models":[35,45],"but":[36],"also":[37],"low":[40],"accuracy":[41],"trained":[44],"and":[46,71,105,133,151,189],"complexity":[48],"multi-machine":[50],"health":[51,61],"identification.":[53],"To":[54],"address":[55],"these":[56],"challenges,":[57],"production":[59,94,140,164,178],"line":[60,141],"grading":[63],"method":[65],"based":[66],"on":[67],"bi-Kmeans":[69,83,149],"algorithm":[70,84,150],"degraded":[73,169],"hidden":[74,102,170],"Markov":[75,103,171],"model":[76,104],"was":[77,85,117],"proposed,":[78],"considering":[79],"Multi-machine":[80],"sequences.":[81],"The":[82],"employed":[86],"cluster":[88],"input":[90],"line,":[95],"optimizing":[96],"initial":[98],"values":[99],"making":[106,125],"training":[108],"results":[109],"more":[110],"globally":[111],"optimal;":[112],"exponential":[114],"degradation":[115,131,152,160],"factor":[116,153],"utilized":[118],"enhance":[120],"model\u2019s":[122],"fitting":[123,158],"ability,":[124],"closer":[127],"actual":[130],"process":[132],"improving":[134,191],"accuracy.":[136],"Finally,":[137],"using":[138],"with":[142],"six":[143],"an":[146],"example,":[147],"show":[154],"positive":[155],"effects":[156],"in":[157],"line.":[165],"By":[166],"employing":[167],"model,":[172],"guidance":[173],"can":[174],"be":[175],"provided":[176],"lines,":[179],"avoiding":[180],"unexpected":[181],"downtimes,":[182],"reducing":[183],"maintenance":[184,187],"frequency,":[185],"lowering":[186],"costs,":[188],"ultimately":[190],"overall":[192],"efficiency.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}
