{"id":"https://openalex.org/W2816854051","doi":"https://doi.org/10.1109/tase.2018.2848198","title":"Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines","display_name":"Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines","publication_year":2018,"publication_date":"2018-07-09","ids":{"openalex":"https://openalex.org/W2816854051","doi":"https://doi.org/10.1109/tase.2018.2848198","mag":"2816854051"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2018.2848198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2018.2848198","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/A5035154112","display_name":"Imtiaz Ahmed","orcid":"https://orcid.org/0000-0003-1577-7384"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Imtiaz Ahmed","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-1577-7384","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054436417","display_name":"Aldo Dagnino","orcid":"https://orcid.org/0000-0003-4638-1630"},"institutions":[{"id":"https://openalex.org/I4210091029","display_name":"ABB (United States)","ror":"https://ror.org/00cb06v13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210091029","https://openalex.org/I885143765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aldo Dagnino","raw_affiliation_strings":["Information Systems Group, ABB, Cary, NC, USA"],"raw_orcid":"https://orcid.org/0000-0003-4638-1630","affiliations":[{"raw_affiliation_string":"Information Systems Group, ABB, Cary, NC, USA","institution_ids":["https://openalex.org/I4210091029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066523990","display_name":"Yu Ding","orcid":"https://orcid.org/0000-0001-6936-074X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Ding","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-6936-074X","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":3.0242,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.92881614,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"654","last_page":"667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7872394323348999},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.662945032119751},{"id":"https://openalex.org/keywords/minimum-spanning-tree","display_name":"Minimum spanning tree","score":0.5864515900611877},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.5736490488052368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5356810688972473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5036243796348572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49709680676460266},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4843786656856537},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4319711923599243},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.42996689677238464},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4151241183280945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36988991498947144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27768754959106445},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12306061387062073}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7872394323348999},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.662945032119751},{"id":"https://openalex.org/C13743678","wikidata":"https://www.wikidata.org/wiki/Q240464","display_name":"Minimum spanning tree","level":2,"score":0.5864515900611877},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.5736490488052368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5356810688972473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5036243796348572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49709680676460266},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4843786656856537},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4319711923599243},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.42996689677238464},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4151241183280945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36988991498947144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27768754959106445},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12306061387062073},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2018.2848198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2018.2848198","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":[{"id":"https://metadata.un.org/sdg/7","score":0.8600000143051147,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2208090699","display_name":"CPS/Synergy/Collaborative Research: Cybernizing Mechanical Structures through Integrated Sensor-Structure Fabrication","funder_award_id":"1545038","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W80147934","https://openalex.org/W103650626","https://openalex.org/W119141618","https://openalex.org/W126266486","https://openalex.org/W199035648","https://openalex.org/W268872267","https://openalex.org/W1552339598","https://openalex.org/W1565746575","https://openalex.org/W1574832543","https://openalex.org/W1580448704","https://openalex.org/W1594031697","https://openalex.org/W1673310716","https://openalex.org/W1965680834","https://openalex.org/W1979312837","https://openalex.org/W1995341919","https://openalex.org/W2000661457","https://openalex.org/W2001141328","https://openalex.org/W2015887370","https://openalex.org/W2017927472","https://openalex.org/W2019014808","https://openalex.org/W2041184937","https://openalex.org/W2056081083","https://openalex.org/W2064029323","https://openalex.org/W2064771454","https://openalex.org/W2070983531","https://openalex.org/W2071346873","https://openalex.org/W2075949491","https://openalex.org/W2090197195","https://openalex.org/W2097933912","https://openalex.org/W2100253601","https://openalex.org/W2101549186","https://openalex.org/W2110065044","https://openalex.org/W2117839996","https://openalex.org/W2119821739","https://openalex.org/W2122646361","https://openalex.org/W2129281431","https://openalex.org/W2132870739","https://openalex.org/W2144182447","https://openalex.org/W2144809814","https://openalex.org/W2152825437","https://openalex.org/W2157202423","https://openalex.org/W2165558283","https://openalex.org/W2170314592","https://openalex.org/W2282861635","https://openalex.org/W2294798173","https://openalex.org/W2337344967","https://openalex.org/W2427881153","https://openalex.org/W2472480899","https://openalex.org/W2548564261","https://openalex.org/W2903642213","https://openalex.org/W2949851491","https://openalex.org/W3172986746","https://openalex.org/W4230065791","https://openalex.org/W4239510810","https://openalex.org/W4253461361","https://openalex.org/W4255306344","https://openalex.org/W6604823297","https://openalex.org/W6632829031","https://openalex.org/W6637131181","https://openalex.org/W6674933258"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2995475466","https://openalex.org/W2105642232","https://openalex.org/W4210430843","https://openalex.org/W2488605529","https://openalex.org/W2364156185","https://openalex.org/W592780493","https://openalex.org/W2505164911","https://openalex.org/W2750141660","https://openalex.org/W2940991801"],"abstract_inverted_index":{"Anomalies":[0],"are":[1,20],"data":[2,8,68,130,169,190],"points":[3,9,16,78],"or":[4,17],"a":[5,48,101,119,133,139,172,193],"cluster":[6],"of":[7,26,57,65,111,124,129,178],"that":[10,115],"lie":[11],"away":[12],"from":[13,37,192],"the":[14,23,27,34,38,44,63,85,91,98,112,126,144,182,189],"neighboring":[15],"clusters":[18],"and":[19,41,136,196],"inconsistent":[21],"with":[22,160],"overall":[24],"pattern":[25],"data.":[28],"Anomaly":[29],"detection":[30,107,164,185,199],"techniques":[31],"help":[32],"distinguish":[33],"anomalous":[35],"observations":[36],"regular":[39],"ones,":[40],"thus":[42],"provide":[43],"basis":[45],"for":[46,52],"developing":[47],"standard":[49],"performance":[50],"guideline":[51],"process":[53,56],"control.":[54],"The":[55,109,155],"identifying":[58,179],"anomalies":[59,150],"becomes":[60],"complicated":[61,134],"in":[62,70,132,151,175],"absence":[64],"labeled":[66],"training":[67],"as":[69],"supervised":[71],"learning.":[72],"Moreover,":[73],"Euclidean":[74,146],"distance":[75,88,121],"between":[76],"two":[77],"is":[79,114,158,186],"less":[80],"likely":[81],"able":[82],"to":[83,148,188],"reflect":[84],"intrinsic":[86],"structural":[87],"imposed":[89],"by":[90],"underlying":[92],"manifold":[93],"structure.":[94],"In":[95],"this":[96],"paper,":[97],"authors":[99],"propose":[100],"minimum":[102],"spanning":[103],"tree":[104],"(MST)-based":[105],"anomaly":[106,163,184],"method.":[108],"merit":[110],"method":[113,157],"an":[116],"MST":[117],"provides":[118],"new":[120],"measure,":[122],"capable":[123],"capturing":[125],"relative":[127],"connectedness":[128],"points/clusters":[131],"manifold,":[135],"could":[137],"be":[138],"better":[140],"(dis)similarity":[141],"metric,":[142],"than":[143],"simple":[145],"distance,":[147],"identify":[149],"unsupervised":[152],"learning":[153],"settings.":[154],"proposed":[156],"compared":[159],"13":[161],"popular":[162],"methods":[165],"on":[166],"20":[167],"benchmark":[168],"sets,":[170],"demonstrating":[171],"considerable":[173],"improvement":[174],"its":[176],"ability":[177],"anomalies.":[180],"Furthermore,":[181],"MST-based":[183],"applied":[187],"set":[191],"hydropower":[194],"turbine":[195],"demonstrates":[197],"remarkable":[198],"competence.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2026-09-02T07:38:04.252551","created_date":"2025-10-10T00:00:00"}
