{"id":"https://openalex.org/W2984646333","doi":"https://doi.org/10.1109/vtcfall.2019.8891367","title":"Detecting Anomalies in the Engine Coolant Sensor Using One-Class Classifiers","display_name":"Detecting Anomalies in the Engine Coolant Sensor Using One-Class Classifiers","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2984646333","doi":"https://doi.org/10.1109/vtcfall.2019.8891367","mag":"2984646333"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2019.8891367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2019.8891367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","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/A5002727645","display_name":"Eronides Felisberto da Silva Neto","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Eronides F. da Silva Neto","raw_affiliation_strings":["Centro de Informatica (CIn), Universidade Federal de Pernambuco (UFPE), Recife, Brazil","Universidade Federal de Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Informatica (CIn), Universidade Federal de Pernambuco (UFPE), Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072575013","display_name":"Allan R. S. Feitosa","orcid":"https://orcid.org/0000-0002-7850-5223"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Allan R. S. Feitosa","raw_affiliation_strings":["Centro de Informatica (CIn), Universidade Federal de Pernambuco (UFPE), Recife, Brazil","Universidade Federal de Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Informatica (CIn), Universidade Federal de Pernambuco (UFPE), Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084140678","display_name":"George D. C. Cavalcanti","orcid":"https://orcid.org/0000-0001-7714-2283"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"George D. C. Cavalcanti","raw_affiliation_strings":["Centro de Informatica (CIn), Universidade Federal de Pernambuco (UFPE), Recife, Brazil","Universidade Federal de Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Informatica (CIn), Universidade Federal de Pernambuco (UFPE), Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115590188","display_name":"Abel G. Silva-Filho","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Abel G. Silva-Filho","raw_affiliation_strings":["Centro de Informatica (CIn), Universidade Federal de Pernambuco (UFPE), Recife, Brazil","Universidade Federal de Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Informatica (CIn), Universidade Federal de Pernambuco (UFPE), Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002727645"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58170599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"5"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9918000102043152,"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/T11220","display_name":"Water Systems and Optimization","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.7956081628799438},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6895834803581238},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6457257270812988},{"id":"https://openalex.org/keywords/engine-coolant-temperature-sensor","display_name":"Engine coolant temperature sensor","score":0.5767505764961243},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5711411237716675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5616724491119385},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5315560698509216},{"id":"https://openalex.org/keywords/coolant","display_name":"Coolant","score":0.5261772871017456},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5255507230758667},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.4413287341594696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.426480233669281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4064735472202301},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3520375192165375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2794099450111389},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2307930886745453},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12371394038200378},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.07746174931526184}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7956081628799438},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6895834803581238},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6457257270812988},{"id":"https://openalex.org/C159725792","wikidata":"https://www.wikidata.org/wiki/Q929429","display_name":"Engine coolant temperature sensor","level":4,"score":0.5767505764961243},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5711411237716675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5616724491119385},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5315560698509216},{"id":"https://openalex.org/C91914117","wikidata":"https://www.wikidata.org/wiki/Q1056832","display_name":"Coolant","level":2,"score":0.5261772871017456},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5255507230758667},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.4413287341594696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.426480233669281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4064735472202301},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3520375192165375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2794099450111389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2307930886745453},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12371394038200378},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.07746174931526184},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C106169591","wikidata":"https://www.wikidata.org/wiki/Q909434","display_name":"Combustion chamber","level":3,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105923489","wikidata":"https://www.wikidata.org/wiki/Q133235","display_name":"Combustion","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2019.8891367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2019.8891367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W138901404","https://openalex.org/W1564201208","https://openalex.org/W1754663873","https://openalex.org/W2122646361","https://openalex.org/W2157646602","https://openalex.org/W2223903364","https://openalex.org/W2240569242","https://openalex.org/W2590652386","https://openalex.org/W2591133720","https://openalex.org/W2796650109","https://openalex.org/W3147616483","https://openalex.org/W6605703068","https://openalex.org/W6637848757","https://openalex.org/W6690428005"],"related_works":["https://openalex.org/W3157970633","https://openalex.org/W2385825783","https://openalex.org/W2353199197","https://openalex.org/W4327814980","https://openalex.org/W2357150443","https://openalex.org/W127070535","https://openalex.org/W84516370","https://openalex.org/W2140869420","https://openalex.org/W2382704364","https://openalex.org/W2384322977"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"evaluate":[4],"the":[5,10,46,51,54,57,61,73,79,86,90,94,99],"presence":[6],"of":[7,21],"anomalies":[8],"in":[9,25,39,82],"Engine":[11],"Coolant":[12],"Temperature":[13],"(ECT)":[14],"sensor":[15],"operation":[16,81],"by":[17],"collecting":[18],"telemetry":[19],"data":[20],"a":[22],"single":[23],"car":[24],"two":[26],"different":[27,36,41],"operational":[28],"modes.":[29],"The":[30],"proposed":[31],"approach":[32],"has":[33,59],"evaluated":[34],"ten":[35],"one-class":[37],"classifiers":[38],"three":[40],"anomaly":[42,75],"levels,":[43],"defined":[44],"from":[45,53],"sensor's":[47],"malfunctioning.":[48],"Based":[49],"on":[50],"results":[52],"experimental":[55],"data,":[56],"evaluation":[58],"shown:":[60],"One-Class":[62],"Support":[63],"Vector":[64],"Machine":[65],"with":[66,98],"third-":[67],"degree":[68],"polynomial":[69],"kernel":[70],"function":[71],"as":[72,89],"best":[74,91],"detection":[76],"technique":[77,92],"for":[78,93],"vehicle":[80,95],"movement":[83],"trajectory":[84],"and":[85],"k-nearest":[87],"neighbor":[88],"stopped,":[96],"but":[97],"engine":[100],"running.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}