{"id":"https://openalex.org/W2511643845","doi":"https://doi.org/10.1109/tase.2016.2598094","title":"A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes","display_name":"A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes","publication_year":2016,"publication_date":"2016-08-31","ids":{"openalex":"https://openalex.org/W2511643845","doi":"https://doi.org/10.1109/tase.2016.2598094","mag":"2511643845"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2016.2598094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2016.2598094","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5066509740","display_name":"M. Samie Tootooni","orcid":"https://orcid.org/0000-0001-7235-4914"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Samie Tootooni","raw_affiliation_strings":["Department of Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045182089","display_name":"Prahalada Rao","orcid":"https://orcid.org/0000-0002-9642-622X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prahalad K. Rao","raw_affiliation_strings":["Department of Mechanical and Materials Engineering, University of Nebraska, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Materials Engineering, University of Nebraska, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013227742","display_name":"Chun-An Chou","orcid":"https://orcid.org/0000-0001-5806-2093"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-An Chou","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085867168","display_name":"Zhenyu Kong","orcid":"https://orcid.org/0000-0002-8827-502X"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenyu James Kong","raw_affiliation_strings":["Grado Department of Industrial and System Engineering, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Grado Department of Industrial and System Engineering, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066509740"],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":5.7996,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.96265066,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"15","issue":"1","first_page":"127","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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":0.9965000152587891,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/algorithm","display_name":"Algorithm","score":0.5270208120346069},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5192922949790955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3954802453517914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36125099658966064},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.2929717004299164}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5270208120346069},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5192922949790955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3954802453517914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36125099658966064},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2929717004299164}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2016.2598094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2016.2598094","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309482","display_name":"Oklahoma State University","ror":"https://ror.org/045ntgf29"},{"id":"https://openalex.org/F4320332681","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W33893719","https://openalex.org/W1517729176","https://openalex.org/W1578099820","https://openalex.org/W1587744656","https://openalex.org/W1607019360","https://openalex.org/W1607609229","https://openalex.org/W1632660198","https://openalex.org/W1770367837","https://openalex.org/W1966949944","https://openalex.org/W1968099031","https://openalex.org/W1970158471","https://openalex.org/W1974718843","https://openalex.org/W1975315148","https://openalex.org/W1984424783","https://openalex.org/W1987556401","https://openalex.org/W1988725147","https://openalex.org/W1988856158","https://openalex.org/W1991252559","https://openalex.org/W1992332533","https://openalex.org/W1999692860","https://openalex.org/W2000211317","https://openalex.org/W2001100372","https://openalex.org/W2001595608","https://openalex.org/W2014391691","https://openalex.org/W2021246268","https://openalex.org/W2027358529","https://openalex.org/W2036104765","https://openalex.org/W2047668433","https://openalex.org/W2056269156","https://openalex.org/W2070933110","https://openalex.org/W2077179900","https://openalex.org/W2081681829","https://openalex.org/W2087551485","https://openalex.org/W2087872598","https://openalex.org/W2097308346","https://openalex.org/W2101491865","https://openalex.org/W2105994655","https://openalex.org/W2109713924","https://openalex.org/W2110432731","https://openalex.org/W2120785704","https://openalex.org/W2121947440","https://openalex.org/W2124804402","https://openalex.org/W2125462913","https://openalex.org/W2131684499","https://openalex.org/W2132914434","https://openalex.org/W2137321113","https://openalex.org/W2138867486","https://openalex.org/W2143635901","https://openalex.org/W2151417892","https://openalex.org/W2153683739","https://openalex.org/W2154872931","https://openalex.org/W2157202423","https://openalex.org/W2158449659","https://openalex.org/W2158787690","https://openalex.org/W2332479033","https://openalex.org/W2522179729","https://openalex.org/W2746229456","https://openalex.org/W2792874300","https://openalex.org/W3033414884","https://openalex.org/W3099514962","https://openalex.org/W4249543038","https://openalex.org/W4285719527","https://openalex.org/W4388394774","https://openalex.org/W6727219895"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793","https://openalex.org/W4238204885"],"abstract_inverted_index":{"The":[0,63,109,147],"objective":[1],"of":[2,54,85,120,129,150,158,230],"this":[3],"paper":[4],"is":[5,111,153,220],"to":[6,190,202],"monitor":[7],"complex":[8],"process":[9,37,159],"dynamics":[10],"manifest":[11],"in":[12,138,155,161,200,208],"multivariate":[13],"(multidimensional)":[14],"time":[15,79],"series":[16],"data":[17,70],"using":[18,216],"a":[19,67],"spectral":[20,31,130],"(algebraic)":[21],"graph":[22,93,131,181,217],"theoretic":[23,132,182,218],"approach.":[24],"We":[25,124],"test":[26],"the":[27,30,59,83,113,121,126,151,156,178,209,212],"hypothesis":[28,179],"that":[29,112,180],"graph-based":[32,114],"topological":[33,115],"invariants":[34,116,133,219],"detect":[35],"incipient":[36],"drifts":[38],"earlier":[39],"[lower":[40],"average":[41,143],"run":[42],"length":[43],"(ARL":[44],"<sub":[45,193],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[46,74,194],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[47,195],")]":[48],"and":[49,80,90,101,170,196],"with":[50,58,134,226,232],"higher":[51],"fidelity":[52],"(consistency":[53],"detection)":[55],"when":[56,184],"compared":[57,225],"conventional":[60,135,203],"statistics-based":[61],"approaches.":[62],"presented":[64],"approach":[65,152],"maps":[66],"multidimensional":[68],"sensor":[69],"stream":[71],"X":[72,105],"<sup":[73],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N\u00d7d</sup>":[75],"(visualize":[76],"N":[77],"as":[78,82,87,186],"d":[81],"number":[84],"sensors)":[86],"an":[88,139],"unweighted":[89],"undirected":[91],"network":[92],"G(V,":[94,107],"E),":[95],"indexed":[96],"by":[97],"its":[98],"vertices":[99],"V":[100],"edges":[102],"E,":[103],"i.e.,":[104],"\u2192":[106],"E).":[108],"rationale":[110],"are":[117],"surrogate":[118],"representatives":[119],"system":[122],"state.":[123],"compare":[125],"monitoring":[127,160,187],"performance":[128],"statistical":[136,204,233],"features":[137],"exponentially":[140],"weighted":[141],"moving":[142],"control":[144],"chart":[145],"setting.":[146],"practical":[148],"utility":[149],"substantiated":[154],"context":[157],"two":[162],"advanced":[163],"manufacturing":[164],"scenarios,":[165],"namely,":[166],"ultraprecision":[167],"machining":[168],"(UPM)":[169],"semiconductor":[171],"chemical":[172],"mechanical":[173],"planarization.":[174],"These":[175],"studies":[176],"corroborate":[177],"invariants,":[183],"used":[185],"statistics,":[188],"lead":[189],"lower":[191],"ARL":[192],"more":[197],"consistent":[198],"detections":[199],"contrast":[201],"features.":[205,234],"For":[206],"instance,":[207],"UPM":[210],"case,":[211],"fault":[213],"detection":[214],"delay":[215,231],"less":[221],"than":[222],"160":[223],"ms,":[224],"over":[227],"8":[228],"s":[229]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}