{"id":"https://openalex.org/W4387805834","doi":"https://doi.org/10.1109/tim.2023.3326232","title":"Discrete Features Enhancement Based Online Anomaly Detection for Satellite Telemetry Series","display_name":"Discrete Features Enhancement Based Online Anomaly Detection for Satellite Telemetry Series","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387805834","doi":"https://doi.org/10.1109/tim.2023.3326232"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3326232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3326232","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/A5065947603","display_name":"Jingyue Pang","orcid":"https://orcid.org/0000-0003-4149-1670"},"institutions":[{"id":"https://openalex.org/I145581781","display_name":"Chongqing Technology and Business University","ror":"https://ror.org/05hqf1284","country_code":"CN","type":"education","lineage":["https://openalex.org/I145581781"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyue Pang","raw_affiliation_strings":["School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-4149-1670","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, China","institution_ids":["https://openalex.org/I145581781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033787359","display_name":"Guangquan Zhao","orcid":"https://orcid.org/0000-0002-7718-9695"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangquan Zhao","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology (HIT), Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-7718-9695","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology (HIT), Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010356589","display_name":"Datong Liu","orcid":"https://orcid.org/0000-0001-9967-5427"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Datong Liu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology (HIT), Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-9967-5427","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology (HIT), Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019735827","display_name":"Xiyuan Peng","orcid":"https://orcid.org/0000-0001-7424-1008"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyuan Peng","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology (HIT), Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-7424-1008","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology (HIT), Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065947603"],"corresponding_institution_ids":["https://openalex.org/I145581781"],"apc_list":null,"apc_paid":null,"fwci":0.852,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7916199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/telemetry","display_name":"Telemetry","score":0.7588945031166077},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7395173907279968},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7232728004455566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6792914867401123},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.550836980342865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.547511100769043},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4882245361804962},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4313628673553467},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3896624445915222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2830955386161804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23098242282867432}],"concepts":[{"id":"https://openalex.org/C183121708","wikidata":"https://www.wikidata.org/wiki/Q209867","display_name":"Telemetry","level":2,"score":0.7588945031166077},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7395173907279968},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7232728004455566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6792914867401123},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.550836980342865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.547511100769043},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4882245361804962},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4313628673553467},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3896624445915222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2830955386161804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23098242282867432},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3326232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3326232","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":[{"id":"https://openalex.org/G1273936401","display_name":null,"funder_award_id":"62273120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7550635703","display_name":null,"funder_award_id":"62001069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8028930079","display_name":null,"funder_award_id":"sl202100000448","funder_id":"https://openalex.org/F4320321550","funder_display_name":"Chongqing Science and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321550","display_name":"Chongqing Science and Technology Commission","ror":"https://ror.org/05w9erc61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2786827964","https://openalex.org/W2907598569","https://openalex.org/W2908010641","https://openalex.org/W2971518682","https://openalex.org/W2975517869","https://openalex.org/W2995140724","https://openalex.org/W2999700334","https://openalex.org/W3004999940","https://openalex.org/W3005299290","https://openalex.org/W3010979771","https://openalex.org/W3024307936","https://openalex.org/W3026646233","https://openalex.org/W3081298758","https://openalex.org/W3102937575","https://openalex.org/W3106543020","https://openalex.org/W3125690394","https://openalex.org/W3140993386","https://openalex.org/W3142456669","https://openalex.org/W3153890562","https://openalex.org/W3161550624","https://openalex.org/W3164160032","https://openalex.org/W3164519579","https://openalex.org/W3170937175","https://openalex.org/W3178367256","https://openalex.org/W3184127157","https://openalex.org/W3193235603","https://openalex.org/W3201649996","https://openalex.org/W3205662314","https://openalex.org/W3207133806","https://openalex.org/W4206588706","https://openalex.org/W4211262969","https://openalex.org/W4213351996","https://openalex.org/W4236877820","https://openalex.org/W4280583662","https://openalex.org/W4283465542","https://openalex.org/W4285109203","https://openalex.org/W4293222450","https://openalex.org/W4294988381","https://openalex.org/W4296916232","https://openalex.org/W4297947179","https://openalex.org/W4317653976","https://openalex.org/W4319068467","https://openalex.org/W4319786768","https://openalex.org/W4321598233","https://openalex.org/W4365398138","https://openalex.org/W4366278390","https://openalex.org/W4384499202","https://openalex.org/W6784869275"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4312407344","https://openalex.org/W4387250752"],"abstract_inverted_index":{"Telemetry":[0],"data,":[1],"collected":[2],"from":[3],"different":[4,154],"on-board":[5],"sensors":[6],"and":[7,22,54,82,139,173,186,203,210],"transmitted":[8],"via":[9],"a":[10,132],"telemetry":[11,33,68,110,205],"link,":[12],"are":[13,116],"the":[14,19,44,73,98,109,119,160],"only":[15],"basis":[16],"for":[17,32,78,85,105,164],"monitoring":[18],"health":[20],"status":[21],"failure":[23],"of":[24,29,46,67,75,101,194,216],"on-orbit":[25],"spacecraft.":[26],"The":[27,198],"capability":[28],"anomaly":[30,65],"detection":[31,66,99],"series":[34],"should":[35],"be":[36],"further":[37],"enhanced":[38],"in":[39,108],"ground":[40],"stations.":[41],"Owing":[42],"to":[43,63,96,153,184,190,213],"advantages":[45],"temporal":[47,192],"modeling,":[48],"dynamic":[49,114],"threshold":[50],"generation,":[51],"online":[52],"application,":[53],"strong":[55],"interpretability,":[56],"probabilistic":[57,121],"prediction":[58,103,122,126,145,196],"methods":[59,104,215],"have":[60],"been":[61],"designed":[62],"realize":[64,191],"data.":[69,111],"However,":[70],"they":[71],"face":[72],"risks":[74],"false":[76],"alarms":[77,84],"isolated":[79],"normal":[80],"points":[81],"missing":[83],"continuous":[86],"anomalies.":[87,218],"In":[88,142,157],"this":[89,158],"case,":[90],"an":[91],"improved":[92],"method":[93,134],"is":[94,147,166,188],"proposed":[95],"promote":[97],"ability":[100,163],"probability":[102],"collective":[106],"anomalies":[107],"Firstly,":[112],"effective":[113],"thresholds":[115],"derived":[117],"by":[118],"modified":[120],"model":[123],"with":[124],"better":[125],"confidence":[127],"levels.":[128,156],"Then,":[129],"we":[130],"design":[131],"discrete":[133,177],"based":[135,169],"on":[136,170,200],"equal-width":[137],"discretization":[138],"statistical":[140],"analysis.":[141],"detail,":[143],"each":[144],"error":[146],"divided":[148],"into":[149],"several":[150],"intervals":[151],"corresponding":[152],"abnormal":[155],"way,":[159],"quantitative":[161],"characterization":[162],"samples":[165],"enhanced.":[167],"Finally,":[168],"Markov":[171],"chain":[172],"majority":[174],"voting":[175],"integration,":[176],"feature":[178],"enhancement":[179],"at":[180],"multi-time":[181],"scales":[182],"referring":[183],"multi-step":[185,195],"multi-window":[187],"implemented":[189],"modeling":[193],"features.":[197],"experiments":[199],"simulated":[201],"datasets":[202],"real":[204],"data":[206],"verify":[207],"its":[208],"effectiveness":[209],"applicability":[211],"compared":[212],"other":[214],"labeling":[217]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
