{"id":"https://openalex.org/W4226109456","doi":"https://doi.org/10.1109/tim.2022.3165256","title":"Online Monitoring for Non-Stationary Operation via a Collaborative Neural Network","display_name":"Online Monitoring for Non-Stationary Operation via a Collaborative Neural Network","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226109456","doi":"https://doi.org/10.1109/tim.2022.3165256"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3165256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3165256","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5106571017","display_name":"Sudao He","orcid":"https://orcid.org/0000-0003-2301-9698"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sudao He","raw_affiliation_strings":["College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2301-9698","affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019668149","display_name":"Fuyang Chen","orcid":"https://orcid.org/0000-0003-2650-420X"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyang Chen","raw_affiliation_strings":["College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2650-420X","affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101669907","display_name":"Ning Xu","orcid":"https://orcid.org/0000-0001-6835-3468"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Xu","raw_affiliation_strings":["College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6835-3468","affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019419996","display_name":"Hongtian Chen","orcid":"https://orcid.org/0000-0002-8600-9668"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hongtian Chen","raw_affiliation_strings":["Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8600-9668","affiliations":[{"raw_affiliation_string":"Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.837,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87203399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.991100013256073,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6640398502349854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6580505967140198},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5858131051063538},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5371869802474976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44511210918426514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4237411618232727},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3711531162261963}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6640398502349854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580505967140198},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5858131051063538},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5371869802474976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44511210918426514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4237411618232727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3711531162261963},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3165256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3165256","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1904826605","https://openalex.org/W2099419573","https://openalex.org/W2107798337","https://openalex.org/W2160512933","https://openalex.org/W2165116724","https://openalex.org/W2314531542","https://openalex.org/W2326927858","https://openalex.org/W2407746226","https://openalex.org/W2416373267","https://openalex.org/W2520599539","https://openalex.org/W2604756720","https://openalex.org/W2624483752","https://openalex.org/W2626498001","https://openalex.org/W2760048934","https://openalex.org/W2884367402","https://openalex.org/W2898017895","https://openalex.org/W2903011781","https://openalex.org/W2921833330","https://openalex.org/W2953212672","https://openalex.org/W2969613015","https://openalex.org/W2971628458","https://openalex.org/W2979700798","https://openalex.org/W2981240607","https://openalex.org/W3008292207","https://openalex.org/W3015791395","https://openalex.org/W3080597126","https://openalex.org/W3081032406","https://openalex.org/W3094594436","https://openalex.org/W3096211637","https://openalex.org/W3114964331","https://openalex.org/W3128385712","https://openalex.org/W3165656405","https://openalex.org/W3210024281"],"related_works":["https://openalex.org/W1517908938","https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2465918047","https://openalex.org/W2362198218","https://openalex.org/W3151522584","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W2086348228"],"abstract_inverted_index":{"Online":[0],"monitoring":[1,19,47],"has":[2],"become":[3],"a":[4,26,35,120,154,158],"challenging":[5],"issue":[6],"because":[7],"of":[8,29,56,115,147,157],"the":[9,73,77,99,107,113,148],"changing":[10],"knowledge":[11,70,94],"in":[12,44,109],"non-stationary":[13],"operation.":[14],"It":[15],"requires":[16],"an":[17,130],"appropriate":[18],"algorithm":[20],"to":[21,92,105,136],"timely":[22],"self-adjust":[23],"based":[24],"on":[25],"finite":[27,65],"number":[28],"online":[30,62],"data.":[31],"This":[32],"study":[33],"proposes":[34],"collaborative":[36],"neural":[37,59],"network":[38],"(CoNN)":[39],"for":[40,61],"detecting":[41],"physical":[42],"intrusions":[43],"perimeter":[45,159],"security":[46,160],"through":[48,67,86,153],"real-time":[49],"adaptation.":[50],"The":[51,143],"proposed":[52,149],"CoNN":[53,91,116],"method":[54,133,150],"consists":[55],"two":[57],"half-shared":[58],"networks":[60],"learning":[63],"with":[64,126,139],"measurements":[66],"preserving":[68],"previous":[69],"and":[71,89,129,145],"absorbing":[72],"new":[74],"knowledge.":[75,111],"Specifically,":[76],"shared":[78],"feature":[79],"layers":[80,101],"can":[81],"learn":[82],"latent":[83],"domain-invariant":[84],"representations":[85],"weight":[87],"sharing":[88],"adapt":[90],"prior":[93],"changes.":[95],"On":[96],"this":[97],"basis,":[98],"classification":[100],"use":[102],"concept-exclusive":[103],"parameters":[104],"model":[106],"changes":[108],"posterior":[110],"Furthermore,":[112],"objective":[114],"is":[117,134],"formulated":[118],"as":[119],"linearly":[121],"constrained":[122],"non-convex":[123],"minimization":[124],"problem":[125],"coupled":[127],"functions,":[128],"alternating":[131],"direction":[132],"used":[135],"solve":[137],"it":[138],"theoretically":[140],"guaranteed":[141],"convergence.":[142],"feasibility":[144],"effectiveness":[146],"are":[151],"validated":[152],"real-field":[155],"experiment":[156],"system.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}