{"id":"https://openalex.org/W4388966868","doi":"https://doi.org/10.1109/sbesc60926.2023.10324004","title":"Imbalance fault detection in BLDC motors through audio signals using the density of maxima and CNN","display_name":"Imbalance fault detection in BLDC motors through audio signals using the density of maxima and CNN","publication_year":2023,"publication_date":"2023-11-21","ids":{"openalex":"https://openalex.org/W4388966868","doi":"https://doi.org/10.1109/sbesc60926.2023.10324004"},"language":"en","primary_location":{"id":"doi:10.1109/sbesc60926.2023.10324004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbesc60926.2023.10324004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 XIII Brazilian Symposium on Computing Systems Engineering (SBESC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5071662697","display_name":"Yuri C. Gouveia","orcid":null},"institutions":[{"id":"https://openalex.org/I169045520","display_name":"Universidade Federal da Para\u00edba","ror":"https://ror.org/00p9vpz11","country_code":"BR","type":"education","lineage":["https://openalex.org/I169045520"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Yuri C. Gouveia","raw_affiliation_strings":["Universidade Federal da Paraiba,Graduate Program in Informatics,Joao Pessoa,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal da Paraiba,Graduate Program in Informatics,Joao Pessoa,Brazil","institution_ids":["https://openalex.org/I169045520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081680179","display_name":"Alisson V. Brito","orcid":"https://orcid.org/0000-0001-5215-443X"},"institutions":[{"id":"https://openalex.org/I169045520","display_name":"Universidade Federal da Para\u00edba","ror":"https://ror.org/00p9vpz11","country_code":"BR","type":"education","lineage":["https://openalex.org/I169045520"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alisson V. Brito","raw_affiliation_strings":["Universidade Federal da Paraiba,Laboratory of System Engineering and Robotics,Joao Pessoa,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal da Paraiba,Laboratory of System Engineering and Robotics,Joao Pessoa,Brazil","institution_ids":["https://openalex.org/I169045520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064505240","display_name":"Tiago Nascimento","orcid":"https://orcid.org/0000-0002-9319-2114"},"institutions":[{"id":"https://openalex.org/I169045520","display_name":"Universidade Federal da Para\u00edba","ror":"https://ror.org/00p9vpz11","country_code":"BR","type":"education","lineage":["https://openalex.org/I169045520"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Tiago P. Nascimento","raw_affiliation_strings":["Universidade Federal da Paraiba,Laboratory of System Engineering and Robotics,Joao Pessoa,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal da Paraiba,Laboratory of System Engineering and Robotics,Joao Pessoa,Brazil","institution_ids":["https://openalex.org/I169045520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053580512","display_name":"J. G. G. S. Ramos","orcid":"https://orcid.org/0000-0002-0043-9668"},"institutions":[{"id":"https://openalex.org/I169045520","display_name":"Universidade Federal da Para\u00edba","ror":"https://ror.org/00p9vpz11","country_code":"BR","type":"education","lineage":["https://openalex.org/I169045520"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jorge Gabriel Ramos","raw_affiliation_strings":["Universidade Federal da Paraiba,Department of Physics,Joao Pessoa,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal da Paraiba,Department of Physics,Joao Pessoa,Brazil","institution_ids":["https://openalex.org/I169045520"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114376055","display_name":"Abel Cavalcante Lima Filho","orcid":"https://orcid.org/0000-0002-0726-774X"},"institutions":[{"id":"https://openalex.org/I169045520","display_name":"Universidade Federal da Para\u00edba","ror":"https://ror.org/00p9vpz11","country_code":"BR","type":"education","lineage":["https://openalex.org/I169045520"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Abel Lima Filho","raw_affiliation_strings":["Universidade Federal da Paraiba,Department of Mechanical Engineering,Joao Pessoa,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal da Paraiba,Department of Mechanical Engineering,Joao Pessoa,Brazil","institution_ids":["https://openalex.org/I169045520"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169045520"],"apc_list":null,"apc_paid":null,"fwci":1.7535,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85406035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9624000191688538,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9624000191688538,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9452999830245972,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.790928840637207},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7901266813278198},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.6842895746231079},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.609150230884552},{"id":"https://openalex.org/keywords/propeller","display_name":"Propeller","score":0.5963681936264038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5870701670646667},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5633887648582458},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.46270373463630676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44465121626853943},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.410482794046402},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3743162155151367},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32153114676475525},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11713990569114685}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.790928840637207},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7901266813278198},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.6842895746231079},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.609150230884552},{"id":"https://openalex.org/C80055088","wikidata":"https://www.wikidata.org/wiki/Q205451","display_name":"Propeller","level":2,"score":0.5963681936264038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5870701670646667},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5633887648582458},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.46270373463630676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44465121626853943},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.410482794046402},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3743162155151367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32153114676475525},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11713990569114685},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sbesc60926.2023.10324004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbesc60926.2023.10324004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 XIII Brazilian Symposium on Computing Systems Engineering (SBESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1969548092","https://openalex.org/W1979826896","https://openalex.org/W2081306264","https://openalex.org/W2156148045","https://openalex.org/W2162400948","https://openalex.org/W2472803348","https://openalex.org/W2528740446","https://openalex.org/W2590744495","https://openalex.org/W2623946272","https://openalex.org/W2744878561","https://openalex.org/W2789876780","https://openalex.org/W2906599803","https://openalex.org/W2970904865","https://openalex.org/W2973059983","https://openalex.org/W2980025352","https://openalex.org/W3011127812","https://openalex.org/W3035858564","https://openalex.org/W3045731307","https://openalex.org/W3083442117","https://openalex.org/W3186446693","https://openalex.org/W6757429763"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4386322305"],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Vehicles":[2],"(UAVs),":[3],"commonly":[4],"known":[5],"as":[6],"drones,":[7],"are":[8],"increasingly":[9],"used":[10],"for":[11],"various":[12],"tasks.":[13],"However,":[14],"increased":[15],"usage":[16],"leads":[17],"to":[18,23],"more":[19],"failures,":[20],"posing":[21],"risks":[22],"humans":[24],"and":[25,55,67],"the":[26,51,56,78,85],"environment.":[27],"This":[28],"study":[29],"identifies":[30],"propeller":[31,93],"imbalance":[32],"faults":[33],"in":[34,91],"Brushless":[35],"DC":[36],"(BLDC)":[37],"motors":[38],"of":[39],"UAVs.":[40],"It":[41],"compares":[42],"two":[43],"fault":[44],"detection":[45],"methodologies":[46],"based":[47],"on":[48],"chaotic":[49],"behavior:":[50],"alreadyknown":[52],"CNN":[53,79],"approach,":[54],"SAC-DM+CNN":[57,86],"approach.":[58],"Both":[59],"methods":[60],"involve":[61],"acquiring":[62],"audio":[63],"signals,":[64],"generating":[65],"spectrograms,":[66],"training":[68],"a":[69],"Convolutional":[70],"Neural":[71],"Network":[72],"(CNN)":[73],"model.":[74],"Results":[75],"show":[76],"that":[77],"approach":[80,87],"achieves":[81,88],"98.18%":[82],"accuracy,":[83],"while":[84],"71.43%":[89],"accuracy":[90],"classifying":[92],"balance":[94],"faults.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
