Fault diagnosis of electrical faults of three-phase induction motors using acoustic analysis

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorFaculty of Electrical and Computer Engineering-
Autor(es): dc.contributorFaculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering-
Autor(es): dc.contributorOpole University of Technology-
Autor(es): dc.contributorUniversity of Religions and Denomina-
Autor(es): dc.contributorFaculty of Mechanical Engineering-
Autor(es): dc.contributorFaculty of Electrical Engineering and Information Technology-
Autor(es): dc.contributorCollege of Mechanical and Electrical Engineering-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorCollege of Engineering-
Autor(es): dc.contributorUniversiti Brunei Darusalam-
Autor(es): dc.contributorCollege of Quality and Safety Engineering-
Autor(es): dc.creatorGlowacz, Adam-
Autor(es): dc.creatorSulowicz, Maciej-
Autor(es): dc.creatorKozik, Jaroslaw-
Autor(es): dc.creatorPiech, Krzysztof-
Autor(es): dc.creatorGlowacz, Witold-
Autor(es): dc.creatorLi, Zhixiong-
Autor(es): dc.creatorBrumercik, Frantisek-
Autor(es): dc.creatorGutten, Miroslav-
Autor(es): dc.creatorKorenciak, Daniel-
Autor(es): dc.creatorKumar, Anil-
Autor(es): dc.creatorLucas, Guilherme Beraldi-
Autor(es): dc.creatorIrfan, Muhammad-
Autor(es): dc.creatorCaesarendra, Wahyu-
Autor(es): dc.creatorLiu, Hui-
Data de aceite: dc.date.accessioned2025-08-21T18:21:53Z-
Data de disponibilização: dc.date.available2025-08-21T18:21:53Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.24425/bpasts.2024.148440-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/308305-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/308305-
Descrição: dc.descriptionFault diagnosis techniques of electrical motors can prevent unplanned downtime and loss of money, production, and health. Various parts of the induction motor can be diagnosed: rotor, stator, rolling bearings, fan, insulation damage, and shaft. Acoustic analysis is non-invasive. Acoustic sensors are low-cost. Changes in the acoustic signal are often observed for faults in induction motors. In this paper, the authors present a fault diagnosis technique for three-phase induction motors (TPIM) using acoustic analysis. The authors analyzed acoustic signals for three conditions of the TPIM: healthy TPIM, TPIM with two broken bars, and TPIM with a faulty ring of the squirrel cage. Acoustic analysis was performed using fast Fourier transform (FFT), a new feature extraction method called MoD-7 (maxima of differences between the conditions), and deep neural networks: GoogLeNet, and ResNet-50. The results of the analysis of acoustic signals were equal to 100% for the three analyzed conditions. The proposed technique is excellent for acoustic signals. The described technique can be used for electric motor fault diagnosis applications.-
Descrição: dc.descriptionCracow University of Technology Faculty of Electrical and Computer Engineering Department of Electrical Engineering, ul. Warszawska 24-
Descrição: dc.descriptionAGH University of Krakow Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Power Electronics and Energy Control Systems, al. A. Mickiewicza 30-
Descrição: dc.descriptionAGH University of Krakow Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics, al. A. Mickiewicza 30-
Descrição: dc.descriptionFaculty of Mechanical Engineering Opole University of Technology-
Descrição: dc.descriptionUniversity of Religions and Denomina-
Descrição: dc.descriptionUniversity of Zilina Faculty of Mechanical Engineering Department of Design and Machine Elements, Univerzitna 1-
Descrição: dc.descriptionUniversity of Zilina Faculty of Electrical Engineering and Information Technology, 8215/1 Univerzitna-
Descrição: dc.descriptionWenzhou University College of Mechanical and Electrical Engineering-
Descrição: dc.descriptionSao Paulo State University Department of Electrical Engineering, Av. Eng. Luís Edmundo Carrijo Coube 14-01, Sao Paulo-
Descrição: dc.descriptionNajran University Saudi Arabia Electrical Engineering Department College of Engineering-
Descrição: dc.descriptionFaculty of Integrated Technologies Universiti Brunei Darusalam, Jalan Tungku Link-
Descrição: dc.descriptionChina Jiliang University College of Quality and Safety Engineering-
Descrição: dc.descriptionSao Paulo State University Department of Electrical Engineering, Av. Eng. Luís Edmundo Carrijo Coube 14-01, Sao Paulo-
Idioma: dc.languageen-
Relação: dc.relationBulletin of the Polish Academy of Sciences: Technical Sciences-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectacoustic signal-
Palavras-chave: dc.subjectfault-
Palavras-chave: dc.subjectinduction motor-
Palavras-chave: dc.subjectneural network.-
Título: dc.titleFault diagnosis of electrical faults of three-phase induction motors using acoustic analysis-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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