{"id":"https://openalex.org/W4416740526","doi":"https://doi.org/10.5753/sscad.2025.15872","title":"Evaluating Machine Learning Algorithms for Anomaly Detection in Industrial Engines on Edge Devices","display_name":"Evaluating Machine Learning Algorithms for Anomaly Detection in Industrial Engines on Edge Devices","publication_year":2025,"publication_date":"2025-10-28","ids":{"openalex":"https://openalex.org/W4416740526","doi":"https://doi.org/10.5753/sscad.2025.15872"},"language":"en","primary_location":{"id":"doi:10.5753/sscad.2025.15872","doi":"https://doi.org/10.5753/sscad.2025.15872","is_oa":true,"landing_page_url":"https://doi.org/10.5753/sscad.2025.15872","pdf_url":"https://sol.sbc.org.br/index.php/sscad/article/download/37896/37674","source":{"id":"https://openalex.org/S7407115069","display_name":"Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho (SSCAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XXVI Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho (SSCAD 2025)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://sol.sbc.org.br/index.php/sscad/article/download/37896/37674","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lucas Ara\u00fajo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I62921916","display_name":"Universidade Federal Rural de Pernambuco","ror":"https://ror.org/02ksmb993","country_code":"BR","type":"education","lineage":["https://openalex.org/I62921916"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucas Ara\u00fajo","raw_affiliation_strings":["UFRPE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFRPE","institution_ids":["https://openalex.org/I62921916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010179490","display_name":"S\u00e9rgio F. Chevtchenko","orcid":"https://orcid.org/0000-0001-8283-5578","observed_orcids":["https://orcid.org/0000-0001-8283-5578"]},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"S\u00e9rgio Chevtchenko","raw_affiliation_strings":["Western Sydney University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Sydney University","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013826168","display_name":"Danilo Ara\u00fajo","orcid":"https://orcid.org/0000-0002-4822-0390","observed_orcids":["https://orcid.org/0000-0002-4822-0390"]},"institutions":[{"id":"https://openalex.org/I62921916","display_name":"Universidade Federal Rural de Pernambuco","ror":"https://ror.org/02ksmb993","country_code":"BR","type":"education","lineage":["https://openalex.org/I62921916"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Danilo Ara\u00fajo","raw_affiliation_strings":["UFRPE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFRPE","institution_ids":["https://openalex.org/I62921916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018148576","display_name":"Ermeson Andrade","orcid":"https://orcid.org/0000-0002-9614-4492","observed_orcids":["https://orcid.org/0000-0002-9614-4492"]},"institutions":[{"id":"https://openalex.org/I62921916","display_name":"Universidade Federal Rural de Pernambuco","ror":"https://ror.org/02ksmb993","country_code":"BR","type":"education","lineage":["https://openalex.org/I62921916"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ermeson Andrade","raw_affiliation_strings":["UFRPE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFRPE","institution_ids":["https://openalex.org/I62921916"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.368,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67575453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"169","last_page":"180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.4287000000476837,"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":0.4287000000476837,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.33739998936653137,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.1753000020980835,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9819999933242798},{"id":"https://openalex.org/keywords/industrial-engines","display_name":"industrial engines","score":0.9739999771118164},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.949999988079071},{"id":"https://openalex.org/keywords/raspberry-pi","display_name":"Raspberry Pi","score":0.968999981880188},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.8859999775886536},{"id":"https://openalex.org/keywords/lof","display_name":"LOF","score":0.7870000004768372},{"id":"https://openalex.org/keywords/isolation-forest","display_name":"Isolation Forest","score":0.7429999709129333},{"id":"https://openalex.org/keywords/fault-detection","display_name":"fault detection","score":0.7170000076293945},{"id":"https://openalex.org/keywords/sensor-data","display_name":"sensor data","score":0.8500000238418579},{"id":"https://openalex.org/keywords/inference-latency","display_name":"inference latency","score":0.7310000061988831},{"id":"https://openalex.org/keywords/resource-constrained-devices","display_name":"resource-constrained devices","score":0.9789999723434448},{"id":"https://openalex.org/keywords/industrial-internet-of-things","display_name":"Industrial Internet of Things","score":0.5709999799728394},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"predictive maintenance","score":0.7210000157356262}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8479999899864197},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5687000155448914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5681999921798706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.565500020980835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5358999967575073},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.511900007724762},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4129999876022339},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39649999141693115},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.33329999446868896},{"id":"https://openalex.org/C202839342","wikidata":"https://www.wikidata.org/wiki/Q60740481","display_name":"Industrial Internet","level":3,"score":0.3303000032901764},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2980000078678131},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2913999855518341},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.2870999872684479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2757999897003174},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.26339998841285706},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.26159998774528503}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5753/sscad.2025.15872","doi":"https://doi.org/10.5753/sscad.2025.15872","is_oa":true,"landing_page_url":"https://doi.org/10.5753/sscad.2025.15872","pdf_url":"https://sol.sbc.org.br/index.php/sscad/article/download/37896/37674","source":{"id":"https://openalex.org/S7407115069","display_name":"Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho (SSCAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XXVI Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho (SSCAD 2025)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5753/sscad.2025.15872","doi":"https://doi.org/10.5753/sscad.2025.15872","is_oa":true,"landing_page_url":"https://doi.org/10.5753/sscad.2025.15872","pdf_url":"https://sol.sbc.org.br/index.php/sscad/article/download/37896/37674","source":{"id":"https://openalex.org/S7407115069","display_name":"Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho (SSCAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XXVI Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho (SSCAD 2025)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416740526.pdf","grobid_xml":"https://content.openalex.org/works/W4416740526.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2011301426","https://openalex.org/W2132870739","https://openalex.org/W2144182447","https://openalex.org/W2296719434","https://openalex.org/W2342249984","https://openalex.org/W3083261337","https://openalex.org/W3096167185","https://openalex.org/W3128261063","https://openalex.org/W3198059351","https://openalex.org/W4206097959","https://openalex.org/W4285385163","https://openalex.org/W4288057688","https://openalex.org/W4376269293","https://openalex.org/W4386989918","https://openalex.org/W4388709720"],"related_works":["https://openalex.org/W7222959442","https://openalex.org/W7004725357","https://openalex.org/W7084209136","https://openalex.org/W7005369859","https://openalex.org/W7124972476","https://openalex.org/W4410358749","https://openalex.org/W4292388557","https://openalex.org/W4408099450","https://openalex.org/W4408494827","https://openalex.org/W3183751693"],"abstract_inverted_index":{"Industrial":[0],"automation":[1],"and":[2,22,25,64,73,86,99],"the":[3,12,31,44,95],"Internet":[4],"of":[5,33,97],"Things":[6],"(IoT)":[7],"are":[8],"rapidly":[9],"evolving,":[10],"highlighting":[11],"need":[13],"for":[14,103],"efficient":[15],"anomaly":[16,37],"detection":[17,38,88],"systems":[18,102],"to":[19],"prevent":[20],"failures":[21],"reduce":[23],"maintenance":[24],"operational":[26],"costs.":[27],"This":[28],"study":[29],"evaluates":[30],"feasibility":[32],"running":[34],"machine":[35],"learning-based":[36],"models":[39],"on":[40,91],"edge":[41],"devices":[42],"like":[43],"Raspberry":[45],"Pi.":[46],"Using":[47],"real":[48],"sensor":[49],"data":[50],"from":[51],"industrial":[52,104],"engines":[53],"with":[54],"induced":[55],"faults,":[56],"we":[57],"tested":[58],"three":[59],"unsupervised":[60],"algorithms:":[61],"LOF,":[62],"OCSVM,":[63],"IF.":[65],"Metrics":[66],"such":[67],"as":[68],"sensitivity,":[69],"specificity,":[70],"inference":[71],"time,":[72],"resource":[74],"usage":[75],"were":[76],"analyzed":[77],"under":[78],"different":[79],"loads.":[80],"The":[81],"results":[82],"show":[83],"that":[84],"accurate":[85],"low-latency":[87],"is":[89],"possible":[90],"resource-constrained":[92],"devices,":[93],"supporting":[94],"development":[96],"cost-effective":[98],"autonomous":[100],"monitoring":[101],"environments.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2025-11-28T00:00:00"}