{"id":"https://openalex.org/W4408281091","doi":"https://doi.org/10.1109/iecon55916.2024.10905763","title":"Detection of Electric Motor Damage Through Analysis of Sound Signals Using Bayesian Neural Networks","display_name":"Detection of Electric Motor Damage Through Analysis of Sound Signals Using Bayesian Neural Networks","publication_year":2024,"publication_date":"2024-11-03","ids":{"openalex":"https://openalex.org/W4408281091","doi":"https://doi.org/10.1109/iecon55916.2024.10905763"},"language":"en","primary_location":{"id":"doi:10.1109/iecon55916.2024.10905763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","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/A5033380421","display_name":"Waldemar Bauer","orcid":"https://orcid.org/0000-0002-8543-0995"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Waldemar Bauer","raw_affiliation_strings":["AGH University of Krakow,Dept. of Automatic Control & Robotics,Krakow,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Krakow,Dept. of Automatic Control & Robotics,Krakow,Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083224162","display_name":"Marta Zag\u00f3rowska","orcid":"https://orcid.org/0000-0001-8523-5252"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Marta Zag\u00f3rowska","raw_affiliation_strings":["Norwegian University of Science and Technology,Dept. of Engineering Cybernetics,Trondheim,Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology,Dept. of Engineering Cybernetics,Trondheim,Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013813735","display_name":"Jerzy Baranowski","orcid":"https://orcid.org/0000-0003-3313-581X"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jerzy Baranowski","raw_affiliation_strings":["AGH University of Krakow,Dept. of Automatic Control & Robotics,Krakow,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Krakow,Dept. of Automatic Control & Robotics,Krakow,Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48481506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9828000068664551,"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":0.9828000068664551,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.90829998254776,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.6056778430938721},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5875833034515381},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5656394362449646},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.4890328347682953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4115179777145386},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3949812650680542},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3655790090560913},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14381539821624756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6056778430938721},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5875833034515381},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5656394362449646},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.4890328347682953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4115179777145386},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3949812650680542},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3655790090560913},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14381539821624756}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon55916.2024.10905763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","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":0.5}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320217","display_name":"Marie Curie","ror":"https://ror.org/02aqv1x10"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2319499942","https://openalex.org/W2758487991","https://openalex.org/W2903854667","https://openalex.org/W2964059111","https://openalex.org/W4289109854","https://openalex.org/W4303710087","https://openalex.org/W4313251985","https://openalex.org/W4313377512","https://openalex.org/W4313479596","https://openalex.org/W4317821616","https://openalex.org/W4386373863","https://openalex.org/W6639732818","https://openalex.org/W6640036494","https://openalex.org/W6696727771"],"related_works":["https://openalex.org/W2909726438","https://openalex.org/W2067046791","https://openalex.org/W2909888262","https://openalex.org/W2025747832","https://openalex.org/W3020957235","https://openalex.org/W2056769785","https://openalex.org/W611303608","https://openalex.org/W4313595395","https://openalex.org/W2312783472","https://openalex.org/W2909748163"],"abstract_inverted_index":{"Fault":[0],"monitoring":[1],"and":[2,23,46,62,87],"diagnostics":[3,27],"are":[4],"important":[5],"to":[6,35,54,60],"ensure":[7],"reliability":[8],"of":[9,21,28,37,77,91],"electric":[10,66],"motors.":[11],"Efficient":[12],"algorithms":[13],"for":[14,26],"fault":[15],"detection":[16],"improve":[17],"reliability,":[18],"yet":[19],"development":[20],"cost-effective":[22],"reliable":[24],"classifiers":[25],"equipment":[29,45],"is":[30,81,95],"challenging,":[31],"in":[32,65],"particular":[33],"due":[34],"unavailability":[36],"well-balanced":[38],"datasets,":[39],"with":[40,71],"signals":[41],"from":[42,48],"properly":[43],"functioning":[44],"those":[47],"faulty":[49],"equipment.":[50],"Thus,":[51],"we":[52],"propose":[53],"use":[55],"a":[56,88],"Bayesian":[57],"neural":[58],"network":[59,80],"detect":[61],"classify":[63],"faults":[64],"motors,":[67],"given":[68],"its":[69],"efficacy":[70],"imbalanced":[72],"training":[73],"data.":[74],"The":[75],"performance":[76],"the":[78,92],"proposed":[79,93],"demonstrated":[82],"on":[83],"real":[84],"life":[85],"signals,":[86],"robustness":[89],"analysis":[90],"solution":[94],"provided.":[96]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}