{"id":"https://openalex.org/W4317851149","doi":"https://doi.org/10.1109/tr.2023.3234907","title":"A Hidden Markov Model for Condition Monitoring of Time Series Data in Complex Network Systems","display_name":"A Hidden Markov Model for Condition Monitoring of Time Series Data in Complex Network Systems","publication_year":2023,"publication_date":"2023-01-24","ids":{"openalex":"https://openalex.org/W4317851149","doi":"https://doi.org/10.1109/tr.2023.3234907"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2023.3234907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2023.3234907","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","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/A5021187180","display_name":"Wanshan Li","orcid":"https://orcid.org/0000-0001-8361-8495"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanshan Li","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8361-8495","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374122","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0002-4767-9597"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4767-9597","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.0528,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76611293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"72","issue":"4","first_page":"1478","last_page":"1492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/unobservable","display_name":"Unobservable","score":0.7683346271514893},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6033593416213989},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5704675912857056},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5528737902641296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5129906535148621},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5094097256660461},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.49141204357147217},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48441392183303833},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.452846884727478},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.4470489025115967},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44363221526145935},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.43203485012054443},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4264107048511505},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.343252956867218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3392694294452667},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.2840092182159424},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23929116129875183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17038515210151672},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15119615197181702},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12169787287712097},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.12021127343177795}],"concepts":[{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.7683346271514893},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6033593416213989},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5704675912857056},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5528737902641296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5129906535148621},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5094097256660461},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.49141204357147217},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48441392183303833},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.452846884727478},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4470489025115967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44363221526145935},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.43203485012054443},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4264107048511505},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.343252956867218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3392694294452667},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2840092182159424},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23929116129875183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17038515210151672},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15119615197181702},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12169787287712097},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.12021127343177795},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2023.3234907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2023.3234907","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2445352823","display_name":"\u57fa\u4e8e\u590d\u6742\u8f6e\u5ed3\u6570\u636e\u7684\u7edf\u8ba1\u5efa\u6a21\u548c\u5728\u7ebf\u76d1\u63a7\u7814\u7a76","funder_award_id":"71901131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G410914050","display_name":null,"funder_award_id":"72271138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7236899727","display_name":"\u5de5\u4e1a\u5927\u6570\u636e\u73af\u5883\u4e0b\u9762\u5411\u667a\u80fd\u5236\u9020\u7cfb\u7edf\u7684\u8d28\u91cf\u79d1\u5b66\u7ba1\u63a7\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71932006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7787109876","display_name":null,"funder_award_id":"9222014","funder_id":"https://openalex.org/F4320321843","funder_display_name":"Bulgarian National Science Fund"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321843","display_name":"Bulgarian National Science Fund","ror":"https://ror.org/05eg49r29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1662590540","https://openalex.org/W1694128711","https://openalex.org/W1947560069","https://openalex.org/W1967087957","https://openalex.org/W1967372803","https://openalex.org/W2001081968","https://openalex.org/W2001510020","https://openalex.org/W2006844123","https://openalex.org/W2007321142","https://openalex.org/W2008478618","https://openalex.org/W2016509312","https://openalex.org/W2032005922","https://openalex.org/W2050654176","https://openalex.org/W2077574412","https://openalex.org/W2077743873","https://openalex.org/W2082108991","https://openalex.org/W2105934661","https://openalex.org/W2135479611","https://openalex.org/W2150498351","https://openalex.org/W2167124486","https://openalex.org/W2179675232","https://openalex.org/W2180044790","https://openalex.org/W2268845771","https://openalex.org/W2343581650","https://openalex.org/W2516153342","https://openalex.org/W2568349879","https://openalex.org/W2597822044","https://openalex.org/W2756887047","https://openalex.org/W2892941300","https://openalex.org/W2911508496","https://openalex.org/W2962736999","https://openalex.org/W2963267948","https://openalex.org/W2963372519","https://openalex.org/W2967181082","https://openalex.org/W3122347686","https://openalex.org/W3124251522","https://openalex.org/W3125904850","https://openalex.org/W4210616753","https://openalex.org/W4235169531","https://openalex.org/W6638964526","https://openalex.org/W6642271922","https://openalex.org/W6661828638"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2194396582","https://openalex.org/W2082284720","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2379938888","https://openalex.org/W2566202039","https://openalex.org/W4233405330","https://openalex.org/W2792905593"],"abstract_inverted_index":{"Time":[0],"series":[1,60,131],"data":[2,88,132,190],"are":[3],"ubiquitous":[4],"in":[5,51],"complex":[6],"network":[7,73,169],"systems,":[8],"where":[9],"each":[10,57,68,165],"component":[11,80],"of":[12,56,64,78,102,156,160,181,206],"the":[13,52,71,76,99,111,118,145,149,153,168,179,182,202,207],"system":[14],"is":[15,95,175],"treated":[16],"as":[17,38,105,195,197],"a":[18,79,106,124],"vertex":[19],"and":[20,43,82,148,189,204],"has":[21],"sequentially":[22],"collected":[23],"autocorrelated":[24],"observations":[25],"for":[26,128,141,186],"condition":[27,92],"monitoring.":[28],"In":[29],"many":[30],"cases,":[31],"components":[32,66],"transit":[33],"between":[34],"different":[35,45,65,161],"states,":[36],"such":[37],"\u201cnormal,\u201d":[39],"\u201cdegrading,\u201d":[40],"\u201cfailure,\u201d":[41],"etc.,":[42],"under":[44],"states":[46,63,143,159],"their":[47],"distributions":[48],"vary,":[49],"resulting":[50],"mixture":[53,134],"marginal":[54,135],"distribution":[55],"vertex's":[58],"time":[59,130],"data.":[61],"Moreover,":[62],"influence":[67,164],"other":[69,166],"through":[70,167],"system's":[72],"topology,":[74],"i.e.,":[75],"state":[77,100,187],"itself":[81],"its":[83,87],"neighbors":[84],"jointly":[85],"affect":[86],"distribution.":[89],"For":[90],"efficient":[91],"monitoring,":[93],"it":[94],"important":[96],"to":[97,177],"capture":[98],"evolution":[101],"all":[103],"vertices":[104,162],"whole":[107],"over":[108],"time.":[109],"However,":[110],"state-switching":[112,146],"may":[113],"be":[114],"unobservable,":[115],"which":[116],"complicates":[117],"modeling.":[119],"Hence,":[120],"this":[121],"article":[122],"proposes":[123],"hidden":[125],"Markov":[126,138],"model":[127,151],"networked":[129],"with":[133],"distributions.":[136],"The":[137,158,172],"transition":[139],"rule":[140],"latent":[142],"captures":[144],"behavior":[147],"AR":[150],"reveals":[152],"temporal":[154],"dependence":[155],"vertices.":[157],"further":[163],"topology":[170],"structure.":[171],"Baum\u2013Welch":[173],"algorithm":[174],"used":[176],"estimate":[178],"parameters":[180],"proposed":[183,208],"model,":[184],"allowing":[185],"inference":[188],"fitting.":[191],"Extensive":[192],"numerical":[193],"studies":[194,200],"well":[196],"real":[198],"case":[199],"demonstrate":[201],"effectiveness":[203],"applicability":[205],"model.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
