{"id":"https://openalex.org/W4308090792","doi":"https://doi.org/10.1109/hpec55821.2022.9926361","title":"Online Detection and Classification of State Transitions of Multivariate Shock and Vibration Data","display_name":"Online Detection and Classification of State Transitions of Multivariate Shock and Vibration Data","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4308090792","doi":"https://doi.org/10.1109/hpec55821.2022.9926361"},"language":"en","primary_location":{"id":"doi:10.1109/hpec55821.2022.9926361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec55821.2022.9926361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-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/A5042837253","display_name":"Nicklaus Przybylski","orcid":null},"institutions":[{"id":"https://openalex.org/I208081647","display_name":"Coastal Carolina University","ror":"https://ror.org/01621q256","country_code":"US","type":"education","lineage":["https://openalex.org/I208081647"]},{"id":"https://openalex.org/I4210152127","display_name":"Conway School of Landscape Design","ror":"https://ror.org/04q7y8a54","country_code":"US","type":"education","lineage":["https://openalex.org/I4210152127"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicklaus Przybylski","raw_affiliation_strings":["Coastal Carolina University,Department of Computing Sciences,Conway,SC,USA","Department of Computing Sciences, Coastal Carolina University, Conway, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coastal Carolina University,Department of Computing Sciences,Conway,SC,USA","institution_ids":["https://openalex.org/I208081647","https://openalex.org/I4210152127"]},{"raw_affiliation_string":"Department of Computing Sciences, Coastal Carolina University, Conway, SC, USA","institution_ids":["https://openalex.org/I208081647","https://openalex.org/I4210152127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062187807","display_name":"William M. Jones","orcid":"https://orcid.org/0000-0002-3796-6330"},"institutions":[{"id":"https://openalex.org/I208081647","display_name":"Coastal Carolina University","ror":"https://ror.org/01621q256","country_code":"US","type":"education","lineage":["https://openalex.org/I208081647"]},{"id":"https://openalex.org/I4210152127","display_name":"Conway School of Landscape Design","ror":"https://ror.org/04q7y8a54","country_code":"US","type":"education","lineage":["https://openalex.org/I4210152127"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William M. Jones","raw_affiliation_strings":["Coastal Carolina University,Department of Computing Sciences,Conway,SC,USA","Department of Computing Sciences, Coastal Carolina University, Conway, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coastal Carolina University,Department of Computing Sciences,Conway,SC,USA","institution_ids":["https://openalex.org/I208081647","https://openalex.org/I4210152127"]},{"raw_affiliation_string":"Department of Computing Sciences, Coastal Carolina University, Conway, SC, USA","institution_ids":["https://openalex.org/I208081647","https://openalex.org/I4210152127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056569157","display_name":"Nathan DeBardeleben","orcid":"https://orcid.org/0000-0002-5593-9205"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan DeBardeleben","raw_affiliation_strings":["Ultrascale Systems Research Center, Los Alamos National Laboratory,Los Alamos,NM,USA","Ultrascale Systems Research Center, Los Alamos National Laboratory, Los Alamos, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ultrascale Systems Research Center, Los Alamos National Laboratory,Los Alamos,NM,USA","institution_ids":["https://openalex.org/I1343871089"]},{"raw_affiliation_string":"Ultrascale Systems Research Center, Los Alamos National Laboratory, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12223899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7879136204719543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7669563293457031},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5644928812980652},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5464847683906555},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5059859156608582},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.4533396065235138},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.440462201833725},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4307877719402313},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42942750453948975},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.4179116487503052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37281423807144165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33064091205596924}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7879136204719543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7669563293457031},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5644928812980652},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5464847683906555},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5059859156608582},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.4533396065235138},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.440462201833725},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4307877719402313},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42942750453948975},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4179116487503052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37281423807144165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33064091205596924},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec55821.2022.9926361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec55821.2022.9926361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4231704780","https://openalex.org/W2083794993","https://openalex.org/W1485223389","https://openalex.org/W2040597492","https://openalex.org/W2013882407","https://openalex.org/W2901843708","https://openalex.org/W4236777572","https://openalex.org/W1981436518","https://openalex.org/W2184115898","https://openalex.org/W2161099019"],"abstract_inverted_index":{"The":[0],"US":[1],"Department":[2],"of":[3,31,44,51,55,126,146],"Energy's":[4],"(DOE)":[5],"Los":[6],"Alamos":[7],"National":[8],"Laboratory":[9],"(LANL)":[10],"is":[11,53],"interested":[12],"in":[13],"automatic":[14],"anomaly":[15,108],"detection":[16,109],"and":[17,25,41,46,101,110,142],"classification":[18,112],"applied":[19],"to":[20,67,80,91,105,134],"highly":[21],"instrumented":[22],"flight":[23],"shock":[24],"vibration":[26,72],"data":[27,73,99,117],"for":[28,139],"the":[29,39,81,97,144],"purpose":[30],"providing":[32],"insight":[33],"into":[34],"operational":[35],"safety.":[36],"For":[37],"example,":[38],"safe":[40],"secure":[42],"transport":[43],"materials":[45],"devices":[47],"during":[48],"a":[49,68,78,88,130],"variety":[50],"conditions":[52],"particularly":[54],"interest.":[56],"In":[57],"this":[58,103],"work,":[59],"we":[60,121],"apply":[61],"well-known":[62],"Machine":[63],"Learning":[64],"(ML)":[65],"techniques":[66],"publicly":[69],"available":[70],"motor":[71,94],"set":[74],"that":[75],"serves":[76],"as":[77],"proxy":[79],"actual":[82],"LANL":[83],"data.":[84],"We":[85],"successfully":[86],"train":[87],"random":[89],"forest":[90],"classify":[92],"anomalous":[93],"states":[95],"using":[96],"signal":[98],"set,":[100],"use":[102],"model":[104],"simulate":[106],"real-time":[107],"event":[111],"on":[113,129],"multi-variate":[114],"time":[115],"series":[116],"[1],":[118],"[2].":[119],"Furthermore,":[120],"perform":[122],"an":[123],"extensive":[124],"suite":[125],"computational":[127],"studies":[128],"large":[131],"cluster":[132],"computer":[133],"determine":[135],"optimal":[136],"parametric":[137],"settings":[138],"our":[140],"framework":[141],"evaluate":[143],"cost-benefit":[145],"these":[147],"parameters.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}