{"id":"https://openalex.org/W3037277644","doi":"https://doi.org/10.1109/access.2020.3005165","title":"A New State Recognition and Prognosis Method Based on a Sparse Representation Feature and the Hidden Semi-Markov Model","display_name":"A New State Recognition and Prognosis Method Based on a Sparse Representation Feature and the Hidden Semi-Markov Model","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3037277644","doi":"https://doi.org/10.1109/access.2020.3005165","mag":"3037277644"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3005165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005165","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09126770.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/ielx7/6287639/8948470/09126770.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052708136","display_name":"Yunfei Ma","orcid":"https://orcid.org/0000-0002-2528-309X"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun-Fei Ma","raw_affiliation_strings":["Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0000-0002-2528-309X","affiliations":[{"raw_affiliation_string":"Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018715248","display_name":"Xisheng Jia","orcid":"https://orcid.org/0000-0002-8976-5792"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xisheng Jia","raw_affiliation_strings":["Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101560691","display_name":"Qiwei Hu","orcid":"https://orcid.org/0000-0002-4620-7379"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwei Hu","raw_affiliation_strings":["Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057468947","display_name":"Huajun Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Bai","raw_affiliation_strings":["Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014592995","display_name":"Chiming Guo","orcid":"https://orcid.org/0000-0002-3614-6453"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chiming Guo","raw_affiliation_strings":["Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008767129","display_name":"Shuangchuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangchuan Wang","raw_affiliation_strings":["Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Equipment Command and Management, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052708136"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3391,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8040396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"119405","last_page":"119420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9969000220298767,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9876999855041504,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.980400025844574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.8720633387565613},{"id":"https://openalex.org/keywords/downtime","display_name":"Downtime","score":0.7209956645965576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6911240816116333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.646081268787384},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.603955090045929},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5679042935371399},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.512808620929718},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.506536602973938},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4898700416088104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4887430667877197},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4563906192779541},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.4405275583267212},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.414569228887558},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3756534457206726}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.8720633387565613},{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.7209956645965576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6911240816116333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.646081268787384},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.603955090045929},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5679042935371399},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.512808620929718},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.506536602973938},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4898700416088104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4887430667877197},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4563906192779541},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.4405275583267212},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.414569228887558},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3756534457206726},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3005165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005165","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09126770.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:dbf6a7f0cffe46e6b64f800da5fd3c21","is_oa":true,"landing_page_url":"https://doaj.org/article/dbf6a7f0cffe46e6b64f800da5fd3c21","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 8, Pp 119405-119420 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3005165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005165","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09126770.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":[],"awards":[{"id":"https://openalex.org/G8197787519","display_name":null,"funder_award_id":"71871220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3037277644.pdf","grobid_xml":"https://content.openalex.org/works/W3037277644.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W58487886","https://openalex.org/W110288970","https://openalex.org/W1694307164","https://openalex.org/W1699428464","https://openalex.org/W1972985055","https://openalex.org/W1973348243","https://openalex.org/W1976709621","https://openalex.org/W1983375381","https://openalex.org/W1988383841","https://openalex.org/W1992113394","https://openalex.org/W1996747841","https://openalex.org/W2008185990","https://openalex.org/W2025242337","https://openalex.org/W2026884394","https://openalex.org/W2060640288","https://openalex.org/W2090543426","https://openalex.org/W2097323375","https://openalex.org/W2097421680","https://openalex.org/W2104109662","https://openalex.org/W2105080323","https://openalex.org/W2113076747","https://openalex.org/W2116870707","https://openalex.org/W2123914639","https://openalex.org/W2125838338","https://openalex.org/W2129131372","https://openalex.org/W2136774956","https://openalex.org/W2152842394","https://openalex.org/W2153663612","https://openalex.org/W2156633909","https://openalex.org/W2160547390","https://openalex.org/W2195612513","https://openalex.org/W2282978610","https://openalex.org/W2296616510","https://openalex.org/W2393453330","https://openalex.org/W2495649841","https://openalex.org/W2584852661","https://openalex.org/W2749738224","https://openalex.org/W2795126147","https://openalex.org/W2886092524","https://openalex.org/W4229680264","https://openalex.org/W4241640108","https://openalex.org/W4250955649","https://openalex.org/W6602315750","https://openalex.org/W7071072785"],"related_works":["https://openalex.org/W2310476526","https://openalex.org/W3213192587","https://openalex.org/W2144291498","https://openalex.org/W2535730979","https://openalex.org/W2370073012","https://openalex.org/W1557405600","https://openalex.org/W1601861909","https://openalex.org/W4324119469","https://openalex.org/W2164868312","https://openalex.org/W2160650576"],"abstract_inverted_index":{"Equipment":[0],"degradation":[1,41,65,78,87,111],"state":[2,82,136],"recognition":[3,173],"and":[4,14,24,43,81,96,108],"prognosis":[5],"are":[6],"considered":[7],"two":[8],"significant":[9,56],"parts":[10],"of":[11,104,140,149,175,186],"a":[12,31,39,69,128,183],"prognostics":[13],"health":[15],"management":[16],"(PHM)":[17],"system":[18],"that":[19,131,163],"help":[20],"to":[21],"reduce":[22],"downtime":[23],"decrease":[25],"economic":[26],"losses.":[27],"In":[28],"this":[29],"paper,":[30],"sparse":[32],"representation":[33],"(SR)":[34],"feature":[35,88,169],"is":[36,49,67,74,124,144],"proposed":[37,142],"as":[38],"new":[40,52,86],"feature,":[42],"the":[44,59,64,91,101,105,110,135,141,153,164,167,171,178],"hidden":[45],"semi-Markov":[46],"model":[47,72,123,181],"(HSMM)":[48],"established.":[50],"The":[51,138,160],"method":[53,143],"offers":[54],"three":[55],"advantages":[57],"over":[58],"traditional":[60],"HSMM.":[61],"(1)":[62],"Since":[63],"information":[66,103],"incomplete,":[68],"Gaussian":[70],"mixture":[71],"(GMM)":[73],"used":[75],"here":[76],"for":[77,155,190],"data":[79,151],"clustering":[80],"division.":[83],"(2)":[84],"A":[85],"based":[89],"on":[90,188],"wavelet":[92],"packet":[93],"transform":[94],"(WPT)":[95],"SR":[97,168],"can":[98,132],"better":[99],"extract":[100],"structural":[102],"collected":[106],"signal":[107],"reflect":[109],"characteristics.":[112],"(3)":[113],"To":[114],"conduct":[115],"remaining":[116],"useful":[117],"life":[118],"(RUL)":[119],"predictions,":[120],"an":[121],"improved":[122,179],"proposed,":[125],"which":[126],"adds":[127],"control":[129],"variable":[130],"dynamically":[133],"adjust":[134],"duration.":[137],"effectiveness":[139],"demonstrated":[145],"using":[146],"8":[147,191],"groups":[148],"bearing":[150],"from":[152],"Center":[154],"Intelligent":[156],"Maintenance":[157],"Systems":[158],"(IMS).":[159],"results":[161],"show":[162],"HSMM":[165],"with":[166],"achieves":[170,182],"best":[172],"accuracy,":[174],"85.28%.":[176],"Moreover,":[177],"prediction":[180,184],"accuracy":[185],"86.11%":[187],"average":[189],"bearings.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}