{"id":"https://openalex.org/W4386933646","doi":"https://doi.org/10.3390/pr11092794","title":"RETRACTED: A Full-State Reliability Analysis Method for Remanufactured Machine Tools Based on Meta Action and a Markov Chain Using an Exercise Machine (EM) as an Example","display_name":"RETRACTED: A Full-State Reliability Analysis Method for Remanufactured Machine Tools Based on Meta Action and a Markov Chain Using an Exercise Machine (EM) as an Example","publication_year":2023,"publication_date":"2023-09-20","ids":{"openalex":"https://openalex.org/W4386933646","doi":"https://doi.org/10.3390/pr11092794"},"language":"en","primary_location":{"id":"doi:10.3390/pr11092794","doi":"https://doi.org/10.3390/pr11092794","is_oa":true,"landing_page_url":"https://doi.org/10.3390/pr11092794","pdf_url":"https://www.mdpi.com/2227-9717/11/9/2794/pdf?version=1695197861","source":{"id":"https://openalex.org/S4210201879","display_name":"Processes","issn_l":"2227-9717","issn":["2227-9717"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-70","russia-white-list-2","vabb-shw"],"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":"Processes","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2227-9717/11/9/2794/pdf?version=1695197861","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000045241","display_name":"Yueping Luo","orcid":"https://orcid.org/0000-0002-9344-8888","observed_orcids":["https://orcid.org/0000-0002-9344-8888"]},"institutions":[{"id":"https://openalex.org/I206324368","display_name":"Shaoyang University","ror":"https://ror.org/03fx09x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I206324368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueping Luo","raw_affiliation_strings":["College of Physical Education, Shaoyang University, Shaoyang 422000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physical Education, Shaoyang University, Shaoyang 422000, China","institution_ids":["https://openalex.org/I206324368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016299923","display_name":"Yongmao Xiao","orcid":"https://orcid.org/0000-0001-6370-7669","observed_orcids":["https://orcid.org/0000-0001-6370-7669"]},"institutions":[{"id":"https://openalex.org/I4210167317","display_name":"Qiannan Normal College For Nationalities","ror":"https://ror.org/05szpc322","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210167317"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongmao Xiao","raw_affiliation_strings":["Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China","Key Laboratory of Complex Systems and Intelligent Optimization of Qiannan, Duyun 558000, China","School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Complex Systems and Intelligent Optimization of Qiannan, Duyun 558000, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China","institution_ids":["https://openalex.org/I4210167317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016299923"],"corresponding_institution_ids":["https://openalex.org/I4210167317"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2224},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2224},"fwci":0.3089,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54220799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"11","issue":"9","first_page":"2794","last_page":"2794"},"is_retracted":true,"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/T10539","display_name":"Sustainable Supply Chain Management","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/meta-actions","display_name":"meta-actions","score":0.9179999828338623},{"id":"https://openalex.org/keywords/markov-chains","display_name":"Markov chains","score":0.7559999823570251},{"id":"https://openalex.org/keywords/exercise-machines","display_name":"exercise machines","score":0.671999990940094},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.890999972820282},{"id":"https://openalex.org/keywords/machine-tool-spindle","display_name":"machine tool spindle","score":0.7289999723434448},{"id":"https://openalex.org/keywords/retraction","display_name":"retraction","score":0.6779999732971191}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7656965255737305},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7532709836959839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684587001800537},{"id":"https://openalex.org/C107094494","wikidata":"https://www.wikidata.org/wiki/Q428453","display_name":"Fault tree analysis","level":2,"score":0.6453598141670227},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5483879446983337},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4865504801273346},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48593083024024963},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.48029467463493347},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4802123010158539},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4700929820537567},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4583432674407959},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2425401210784912},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23202404379844666},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18672466278076172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14538732171058655},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08998867869377136},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/pr11092794","doi":"https://doi.org/10.3390/pr11092794","is_oa":true,"landing_page_url":"https://doi.org/10.3390/pr11092794","pdf_url":"https://www.mdpi.com/2227-9717/11/9/2794/pdf?version=1695197861","source":{"id":"https://openalex.org/S4210201879","display_name":"Processes","issn_l":"2227-9717","issn":["2227-9717"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-70","russia-white-list-2","vabb-shw"],"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":"Processes","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/pr11092794","doi":"https://doi.org/10.3390/pr11092794","is_oa":true,"landing_page_url":"https://doi.org/10.3390/pr11092794","pdf_url":"https://www.mdpi.com/2227-9717/11/9/2794/pdf?version=1695197861","source":{"id":"https://openalex.org/S4210201879","display_name":"Processes","issn_l":"2227-9717","issn":["2227-9717"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-70","russia-white-list-2","vabb-shw"],"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":"Processes","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386933646.pdf","grobid_xml":"https://content.openalex.org/works/W4386933646.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2121373027","https://openalex.org/W2238527893","https://openalex.org/W2285652421","https://openalex.org/W2380322532","https://openalex.org/W2384016947","https://openalex.org/W2745129400","https://openalex.org/W2774485107","https://openalex.org/W2891321403","https://openalex.org/W2901871800","https://openalex.org/W3030510160","https://openalex.org/W3194222584"],"related_works":["https://openalex.org/W2803013635","https://openalex.org/W2367900826","https://openalex.org/W4225113094","https://openalex.org/W2392898818","https://openalex.org/W4362504512","https://openalex.org/W2592123049","https://openalex.org/W3217527127","https://openalex.org/W2317909764","https://openalex.org/W3109293960","https://openalex.org/W3087990207"],"abstract_inverted_index":{"The":[0],"reliability":[1,27,41],"of":[2,29,98,102,135,142,147,159],"an":[3,9,30,63,78,136,145],"RMT":[4,31],"can":[5,13],"be":[6],"regarded":[7],"as":[8],"important":[10],"indicator":[11],"customers":[12],"use":[14],"to":[15,23,33,122,155],"recognize":[16],"its":[17,34],"quality;":[18],"however,":[19],"it":[20],"is":[21,44,153],"difficult":[22],"implement":[24],"a":[25,39,53,148],"full-state":[26,40,92],"analysis":[28,42,64],"due":[32],"complicated":[35],"structural":[36],"functions.":[37],"Therefore,":[38],"model":[43,82],"proposed":[45],"herein":[46],"based":[47],"on":[48,68],"meta":[49],"action":[50],"(MA)":[51],"and":[52,77,113,126],"Markov":[54,117],"chain":[55],"for":[56,88,139],"remanufactured":[57,149],"exercise":[58],"machine":[59,150],"tools":[60],"(REMTs).":[61],"First,":[62],"was":[65,83,94,120,131],"carried":[66],"out":[67],"individual":[69],"levels":[70],"by":[71,86,133],"integrating":[72],"the":[73,89,99,103,140,157,160],"MAU":[74,79,100,111,124],"decomposition":[75],"method,":[76],"fault":[80],"tree":[81],"established":[84],"layer":[85,87],"REMT.":[90],"Second,":[91],"modeling":[93],"performed":[95],"in":[96],"view":[97],"characteristics":[101],"REMT,":[104],"whose":[105],"operation":[106],"processes":[107],"are":[108],"divided":[109],"into":[110],"normal":[112],"failure":[114],"states.":[115],"A":[116],"decision-making":[118],"process":[119],"introduced":[121],"integrate":[123],"states":[125],"establish":[127],"our":[128],"model,":[129],"which":[130],"solved":[132],"means":[134],"analytical":[137],"method":[138],"evaluation":[141],"reliability.":[143],"Finally,":[144],"example":[146],"tool":[151],"spindle":[152],"given":[154],"verify":[156],"effectiveness":[158],"method.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-09-07T09:17:50.787605","created_date":"2023-09-22T00:00:00"}