Stator Winding Fault Phase Identification Using Piezoelectric Sensors in Three-Phase Induction Motors †

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorLucas, Guilherme-
Autor(es): dc.creatorRocha, Marco-
Autor(es): dc.creatorCastro, Bruno-
Autor(es): dc.creatorLeão, José-
Autor(es): dc.creatorAndreoli, André-
Data de aceite: dc.date.accessioned2025-08-21T22:23:35Z-
Data de disponibilização: dc.date.available2025-08-21T22:23:35Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/ecsa-7-08183-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/245859-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/245859-
Descrição: dc.descriptionThree Phase Induction Motors (TIMs) play a key role in industrial production lines. Due to its robustness and versatility, TIMs are commonly used to drive different devices like fans, conveyors, sieves, and compressors. However, these equipment are often exposed to mechanical and electrical faults. Among them, failures in stator winding insulation lead to severe damage to the TIMs and can cause operational interruptions. Therefore, several approaches have been developed to monitor electrical faults in induction motors. The acoustic emission (AE) stands out as an efficient non-invasive technique (NIT) for TIM diagnosis. In this work, the AE analysis was applied to detect winding insulation faults and identify which electrical phase was affected. To achieve this proposal, a TIM was subjected to insulation faults in each of the three electrical phases, and the acoustic signals were acquired by four piezoelectric sensors attached to the motor. These signals were processed using a new technique, which calculates the energy of a specific range of the signal spectrum and assigns the energy values of each piezoelectric sensor to a coordinate axis (x, y). By ploting the values for each fault condition, this technique allows the detection of insulation faults and correctly identifies the affected phase by clustering the resulting values. Finally, the proposed methodology presented satisfactory results in winding insulation diagnosing.-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University (UNESP)-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University (UNESP)-
Idioma: dc.languageen-
Relação: dc.relationEngineering Proceedings-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectacoustic emission-
Palavras-chave: dc.subjectinduction motors-
Palavras-chave: dc.subjectpiezoelectric sensors-
Palavras-chave: dc.subjectwinding fault-
Título: dc.titleStator Winding Fault Phase Identification Using Piezoelectric Sensors in Three-Phase Induction Motors †-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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