{"id":"https://openalex.org/W3091858081","doi":"https://doi.org/10.1109/etfa46521.2020.9211978","title":"Anomaly Detection Based on Histogram Methodology and Factor Analysis Using LightGBM for Cooling Systems","display_name":"Anomaly Detection Based on Histogram Methodology and Factor Analysis Using LightGBM for Cooling Systems","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3091858081","doi":"https://doi.org/10.1109/etfa46521.2020.9211978","mag":"3091858081"},"language":"en","primary_location":{"id":"doi:10.1109/etfa46521.2020.9211978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa46521.2020.9211978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","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/A5081133950","display_name":"Tomu Yanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomu Yanabe","raw_affiliation_strings":["Graduate School of Science and Technology, Keio University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069949152","display_name":"Hiroaki Nishi","orcid":"https://orcid.org/0000-0002-6331-2947"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Nishi","raw_affiliation_strings":["Faculty of Science and Technology, Keio University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016809176","display_name":"Masahiro Hashimoto","orcid":"https://orcid.org/0000-0003-0162-5312"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Hashimoto","raw_affiliation_strings":["Graduate School of Science and Technology, Keio University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0379,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78730397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"952","last_page":"958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9884999990463257,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9718000292778015,"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":0.7953559160232544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6493729948997498},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.50888991355896},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5054633617401123},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"Predictive maintenance","score":0.474997878074646},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.46770378947257996},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.45585334300994873},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4105485677719116},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3401663899421692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33196327090263367},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29939496517181396},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2582116425037384}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7953559160232544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6493729948997498},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.50888991355896},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5054633617401123},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.474997878074646},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.46770378947257996},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.45585334300994873},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4105485677719116},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3401663899421692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33196327090263367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29939496517181396},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2582116425037384},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/etfa46521.2020.9211978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa46521.2020.9211978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","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":14,"referenced_works":["https://openalex.org/W201917955","https://openalex.org/W1488833649","https://openalex.org/W2406742816","https://openalex.org/W2509297762","https://openalex.org/W2768348081","https://openalex.org/W2797697401","https://openalex.org/W2961886526","https://openalex.org/W2963512953","https://openalex.org/W2999743167","https://openalex.org/W4295111190","https://openalex.org/W6629355409","https://openalex.org/W6741833390","https://openalex.org/W6750939346","https://openalex.org/W6765519130"],"related_works":["https://openalex.org/W2951640941","https://openalex.org/W2384486034","https://openalex.org/W2107628111","https://openalex.org/W2462792858","https://openalex.org/W602415246","https://openalex.org/W2394004323","https://openalex.org/W2378496626","https://openalex.org/W157609714","https://openalex.org/W2398764543","https://openalex.org/W4367857133"],"abstract_inverted_index":{"The":[0,49,88,253,294,321],"development":[1],"of":[2,5,45,51,60,66,81,90,103,126,140,162,212,234,257,283,323,331,353],"the":[3,21,58,67,76,82,101,124,138,153,159,174,180,266,278,311,329,337,340,343,351,354],"Internet":[4],"Things":[6],"(IoT)":[7],"has":[8],"created":[9],"an":[10,85,210],"environment":[11],"in":[12,27,71,97,108,119,243],"which":[13,72,345],"numerous":[14],"sensors":[15,33],"and":[16,24,34,41,78,131,146,155,182,237,251,262,289,339],"actuators":[17,35],"are":[18,42,149,192],"connected":[19],"to":[20,36,151,218,276,304,308,349],"Internet.":[22],"Machines":[23],"management":[25],"systems":[26,164,242],"factories":[28,74,245],"use":[29,102],"data":[30,92,175],"from":[31,84],"such":[32,163],"improve":[37],"their":[38],"work":[39],"efficiency,":[40],"essential":[43],"parts":[44],"today's":[46],"smart":[47,53,73,244],"factories.":[48,187],"vision":[50],"a":[52,64,116,120,202,220,232,300,306,347],"factory":[54,83],"is":[55,216],"based":[56],"on":[57],"concept":[59],"Industry":[61],"4.0":[62],"(I4.0),":[63],"subset":[65],"fourth":[68],"industrial":[69],"revolution,":[70],"support":[75],"operator":[77],"maintenance":[79,156],"processes":[80],"I4.0":[86],"perspective.":[87],"analysis":[89,200,239,313],"big":[91],"gathered":[93],"by":[94,168,327],"IoT":[95],"devices":[96],"factories,":[98],"particularly":[99],"for":[100,194,240,249],"anomaly":[104,141,195,235,260,267,284],"detection,":[105,142],"can":[106,165],"aid":[107],"achieving":[109],"product":[110],"quality":[111,125],"stabilization.":[112],"For":[113],"example,":[114],"if":[115],"large":[117],"refrigerator":[118],"warehouse":[121],"breaks":[122],"down,":[123],"stock":[127],"food":[128,132],"will":[129],"deteriorate,":[130],"loss":[133],"may":[134],"become":[135],"significant.":[136],"In":[137,227,265,310],"case":[139],"machine":[143,221],"status":[144],"monitoring":[145],"accident":[147],"prediction":[148],"required":[150,193],"reduce":[152],"operation":[154],"costs.":[157],"Furthermore,":[158],"introduction":[160],"cost":[161],"be":[166],"reduced":[167],"generalizing":[169],"them":[170],"(the":[171],"systems).":[172],"However,":[173],"types":[176,282],"as":[177,179],"well":[178],"sensor":[181],"actuator":[183],"types,":[184],"differ":[185],"between":[186],"Therefore,":[188],"nonparametric":[189],"statistical":[190],"methods":[191],"detection.":[196],"By":[197],"contrast,":[198],"factor":[199,238,263,312,322,348],"requires":[201],"costless":[203],"method,":[204],"one":[205,334],"that":[206],"does":[207],"not":[208],"require":[209],"overhaul":[211],"machinery.":[213],"Consequently,":[214],"it":[215],"necessary":[217],"adopt":[219],"learning-based":[222],"method":[223,233,255],"using":[224,246,319,335,342],"sampled":[225],"data.":[226],"this":[228],"study,":[229],"we":[230],"proposed":[231,254],"detection":[236,250,261,268],"cooling":[241],"appropriate":[247],"methodologies":[248],"analysis.":[252,264],"consists":[256],"two":[258,332],"phases:":[259],"stage,":[269,314],"Gaussian":[270],"kernel":[271],"density":[272,287],"estimation":[273],"was":[274,297,325],"used":[275],"calculate":[277],"occurrence":[279],"distribution.":[280],"Two":[281],"scores,":[285],"cumulative":[286],"value":[288],"KL":[290],"divergence,":[291],"were":[292,317],"defined.":[293],"probability":[295],"distribution":[296],"estimated":[298],"with":[299],"constant":[301],"window":[302],"frame":[303],"reflect":[305],"tendency":[307],"increase.":[309],"target":[315],"values":[316],"predicted":[318],"LightGBM.":[320],"abnormalities":[324],"detected":[326],"comparing":[328],"results":[330],"predictions:":[333],"all":[336],"features,":[338],"other":[341],"data,":[344],"excluded":[346],"detect":[350],"contribution":[352],"factor.":[355]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
