{"id":"https://openalex.org/W3092247316","doi":"https://doi.org/10.1109/safeprocess45799.2019.9213372","title":"Subspace Alignment based Adapted GLRT Detector and Its Application in Marine Current Turbine","display_name":"Subspace Alignment based Adapted GLRT Detector and Its Application in Marine Current Turbine","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3092247316","doi":"https://doi.org/10.1109/safeprocess45799.2019.9213372","mag":"3092247316"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess45799.2019.9213372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess45799.2019.9213372","pdf_url":null,"source":{"id":"https://openalex.org/S4306498460","display_name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039590934","display_name":"Milu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Milu Zhang","raw_affiliation_strings":["Department of Electrical Automation, Shanghai Maritime University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Automation, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030448202","display_name":"Tianzhen Wang","orcid":"https://orcid.org/0000-0002-7525-8466"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhen Wang","raw_affiliation_strings":["Department of Electrical Automation, Shanghai Maritime University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Automation, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109213150","display_name":"Tianhao Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianhao Tang","raw_affiliation_strings":["Department of Electrical Automation, Shanghai Maritime University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Automation, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":null,"first_page":"385","last_page":"389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9901999831199646,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9739999771118164,"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/detector","display_name":"Detector","score":0.8151962757110596},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.6524717211723328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5699141025543213},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5029277205467224},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4710390865802765},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.4676479995250702},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43985262513160706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4249553680419922},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.41304704546928406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3395176827907562},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3153650462627411},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2522640824317932},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21109983325004578},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09907710552215576}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.8151962757110596},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.6524717211723328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5699141025543213},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5029277205467224},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4710390865802765},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.4676479995250702},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43985262513160706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4249553680419922},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.41304704546928406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3395176827907562},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3153650462627411},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2522640824317932},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21109983325004578},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09907710552215576},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess45799.2019.9213372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess45799.2019.9213372","pdf_url":null,"source":{"id":"https://openalex.org/S4306498460","display_name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.8500000238418579,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2050874550","https://openalex.org/W2148514155","https://openalex.org/W2304380770","https://openalex.org/W2499577499","https://openalex.org/W2524052612","https://openalex.org/W2547282468","https://openalex.org/W2567688618","https://openalex.org/W2583181058","https://openalex.org/W2599627558","https://openalex.org/W2600512215","https://openalex.org/W2737761798","https://openalex.org/W2794126718","https://openalex.org/W2809919425","https://openalex.org/W2963736697","https://openalex.org/W6729591182"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W4293472652","https://openalex.org/W2113879121","https://openalex.org/W2012141031"],"abstract_inverted_index":{"Most":[0],"traditional":[1],"methods":[2,20],"can":[3,48,157],"detect":[4],"signals":[5],"in":[6],"noise":[7],"by":[8,119,136],"detecting":[9],"the":[10,23,32,53,60,66,73,130,133,154],"change":[11,64],"of":[12,15,31,43,55,75,88,132,141],"mean":[13],"value":[14],"test":[16,151],"statistics.":[17],"But":[18],"these":[19],"assume":[21],"that":[22],"signal":[24,108],"parameter":[25],"is":[26,99,117,126],"known":[27],"without":[28],"considering":[29],"unpredictability":[30],"actual":[33],"industrial":[34],"process.":[35],"Generalized":[36],"Likelihood":[37],"Ratio":[38],"Test":[39],"(GLRT)":[40],"detector,":[41,47],"one":[42],"most":[44],"widely":[45],"used":[46,127],"replace":[49],"unknown":[50],"parameters":[51],"with":[52,65],"results":[54],"maximum":[56],"likelihood":[57],"estimation.":[58],"However,":[59],"classical":[61],"detector":[62,98,135,156],"cannot":[63],"working":[67,148],"conditions.":[68,149],"Also":[69],"it":[70],"can't":[71],"solve":[72],"troubles":[74],"dynamic":[76],"variation":[77],"using":[78,137],"prior":[79],"knowledge,":[80],"which":[81],"lead":[82],"to":[83,105,128],"a":[84,111],"very":[85],"high":[86],"rate":[87],"missing":[89],"detection.":[90],"To":[91],"overcome":[92],"this":[93],"shortcoming,":[94],"an":[95],"adapted":[96],"GLRT":[97],"proposed":[100,134,155],"based":[101],"on":[102],"subspace":[103],"alignment":[104],"highlight":[106],"weak":[107,159],"characteristics,":[109],"then":[110],"mechanism":[112],"changes":[113],"time":[114],"series":[115],"model":[116],"established":[118],"Detrended":[120],"Fluctuation":[121],"Analysis":[122],"(DFA).":[123],"Experimental":[124],"date":[125],"illustrate":[129],"effectiveness":[131],"three-phase":[138],"stator":[139],"current":[140],"Marine":[142],"Current":[143],"Turbine":[144],"(MCT)":[145],"under":[146],"complex":[147],"The":[150],"result":[152],"shows":[153],"extract":[158],"features,":[160],"and":[161],"has":[162],"good":[163],"feature":[164],"portability.":[165]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
