{"id":"https://openalex.org/W2994908203","doi":"https://doi.org/10.1109/tcyb.2019.2948202","title":"Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network","display_name":"Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network","publication_year":2019,"publication_date":"2019-12-18","ids":{"openalex":"https://openalex.org/W2994908203","doi":"https://doi.org/10.1109/tcyb.2019.2948202","mag":"2994908203","pmid":"https://pubmed.ncbi.nlm.nih.gov/31869811"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2019.2948202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2948202","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102732360","display_name":"Jianbo Yu","orcid":"https://orcid.org/0000-0003-4535-7436"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianbo Yu","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000809799","display_name":"Xuefeng Yan","orcid":"https://orcid.org/0000-0001-5622-8686"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Yan","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102732360"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":8.8147,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.98289654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"50","issue":"9","first_page":"3998","last_page":"4007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9868999719619751,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/deep-belief-network","display_name":"Deep belief network","score":0.7224646806716919},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6723436713218689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651841402053833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6466476321220398},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5823534727096558},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5684103965759277},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5517610311508179},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5254099369049072},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.511286735534668},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5064321756362915},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.43489906191825867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35967400670051575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3535681366920471},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18317446112632751},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10920822620391846},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10571551322937012}],"concepts":[{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.7224646806716919},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6723436713218689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651841402053833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6466476321220398},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5823534727096558},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5684103965759277},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5517610311508179},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5254099369049072},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.511286735534668},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5064321756362915},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.43489906191825867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35967400670051575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3535681366920471},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18317446112632751},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10920822620391846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10571551322937012},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2019.2948202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2948202","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:31869811","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31869811","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5400000214576721,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G3397010727","display_name":null,"funder_award_id":"B17017","funder_id":"https://openalex.org/F4320335785","funder_display_name":"Project 211"},{"id":"https://openalex.org/G6905653140","display_name":null,"funder_award_id":"21878081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7894832477","display_name":null,"funder_award_id":"222201917006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335785","display_name":"Project 211","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W771331471","https://openalex.org/W1966863755","https://openalex.org/W1970537494","https://openalex.org/W1984672166","https://openalex.org/W1994505190","https://openalex.org/W2004186751","https://openalex.org/W2006614180","https://openalex.org/W2063823978","https://openalex.org/W2065771650","https://openalex.org/W2084408974","https://openalex.org/W2100495367","https://openalex.org/W2110507720","https://openalex.org/W2116064496","https://openalex.org/W2130086376","https://openalex.org/W2138857742","https://openalex.org/W2201427885","https://openalex.org/W2317535379","https://openalex.org/W2322097696","https://openalex.org/W2556013418","https://openalex.org/W2581853886","https://openalex.org/W2588880771","https://openalex.org/W2594332903","https://openalex.org/W2740019636","https://openalex.org/W2746111230","https://openalex.org/W2759373267","https://openalex.org/W2767031373","https://openalex.org/W2775523681","https://openalex.org/W2788805965","https://openalex.org/W2794398714","https://openalex.org/W2894660140","https://openalex.org/W2895407936","https://openalex.org/W2898516750","https://openalex.org/W2898848825","https://openalex.org/W2916182456","https://openalex.org/W2919054368","https://openalex.org/W2920204204","https://openalex.org/W2956566815","https://openalex.org/W6601785968","https://openalex.org/W6680300913"],"related_works":["https://openalex.org/W2585432886","https://openalex.org/W2165991108","https://openalex.org/W3082895349","https://openalex.org/W2565516711","https://openalex.org/W3004069267","https://openalex.org/W4327774331","https://openalex.org/W3136021864","https://openalex.org/W2572334665","https://openalex.org/W2248239756","https://openalex.org/W3040832198"],"abstract_inverted_index":{"Process":[0],"monitoring":[1,182],"based":[2,124],"on":[3,117,125,170],"deep":[4,32],"learning":[5,33],"has":[6],"attracted":[7],"considerable":[8],"attention.":[9],"Generally,":[10],"several":[11],"hidden":[12,27,39,55,80,130],"layers":[13,56,131],"exist":[14],"in":[15,78,129,194],"the":[16,21,25,48,51,83,91,101,126,136,142,145,150,163,176,185,190],"deep-learning":[17],"model,":[18],"and":[19,114,149,175,187],"only":[20],"output":[22,86,104],"information":[23,45,52,84,102,138],"of":[24,44,47,53,162,189],"last":[26],"layer":[28,40,81],"neurons":[29,77,95,128],"extracted":[30],"by":[31,111],"is":[34,41,132],"applied.":[35],"Considering":[36],"that":[37,69,82],"each":[38,79],"a":[42,71,120,171],"kind":[43],"representation":[46],"original":[49],"data,":[50],"different":[54],"may":[57],"contain":[58],"positive":[59],"elements":[60],"for":[61,107,139],"process":[62,108,140,174,178],"monitoring.":[63,109],"In":[64],"this":[65,195],"article,":[66],"we":[67],"found":[68],"when":[70],"fault":[72],"occurs,":[73],"there":[74],"are":[75,87,96,105,155],"some":[76],"they":[85,103],"different,":[88],"compared":[89],"with":[90,179],"normal":[92],"condition.":[93],"These":[94],"called":[97],"unstable":[98,118,127],"neurons.":[99],"Obviously,":[100],"beneficial":[106],"Motivated":[110],"theoretical":[112],"analysis":[113],"experimental":[115],"studies":[116],"neurons,":[119],"novel":[121],"method":[122,192],"(UN-DBN)":[123],"proposed":[133,191],"to":[134,157],"integrate":[135],"useful":[137],"monitoring,":[141],"Euclidean":[143],"metric,":[144],"moving":[146],"average":[147],"filter,":[148],"kernel":[151],"density":[152],"estimation":[153],"technique":[154],"employed":[156],"provide":[158],"an":[159],"intuitionistic":[160],"expression":[161],"working":[164],"state.":[165],"The":[166],"comparable":[167],"result":[168],"applied":[169],"mathematic":[172],"simulation":[173],"TE":[177],"other":[180],"advanced":[181],"methods":[183],"confirms":[184],"superiority":[186],"feasibility":[188],"UN-DBN":[193],"article.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":16}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
