A Comparison between Piezoelectric Sensors Applied to Multiple Partial Discharge Detection by Advanced Signal Processing Analysis †

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidad Técnica Federico Santa María-
Autor(es): dc.creatorBinotto, Amanda-
Autor(es): dc.creatorCastro, Bruno Albuquerque de-
Autor(es): dc.creatorSantos, Vitor Vecina dos-
Autor(es): dc.creatorRey, Jorge Alfredo Ardila-
Autor(es): dc.creatorAndreoli, André Luiz-
Data de aceite: dc.date.accessioned2025-08-21T17:28:05Z-
Data de disponibilização: dc.date.available2025-08-21T17:28:05Z-
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-7-08243-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/245847-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/245847-
Descrição: dc.descriptionThe development of sensors applied to failure detection systems for power transformers is a critical concern since this device stands out as a strategic component of the electric power system. Among the most common issues is the presence of partial discharges (PDs) in the insulation system of the transformer, which can lead the device to total failure. Aiming to prevent unexpected damages, several PD monitoring approaches have been developed. One of the most promising is the Acoustic Emission (AE) technique, which captures the acoustic signals generated by PDs using piezoelectric sensors. Although many studies have proved the effectiveness of AE, most signal processing approaches are strictly related to the frequency analysis of PD signals, which can hide important information such as the repetition rate of the failure. This article presents a comparison between two types of piezoelectric transducers: the microfiber composite (MFC) and the lead zirconate titanate (PZT). To ensure the detection of multiple PDs, time–frequency analysis was carried out by short-time Fourier transform (STFT). Intending to compare the sensibility of the transducers, the AE signals were windowed, and the root mean square (RMS) value was extracted for each part of the signal. The results indicate that spectrogram and RMS analysis have great potential to detect multiple PD activity. Although MFC was two times more sensitive to PD detection than the PZT sensor, PZT presents a higher frequency response band (0–100 kHz) than MFC (80 kHz).-
Descrição: dc.descriptionDepartment of Electrical Engineering School of Engineering São Paulo State University (UNESP)-
Descrição: dc.descriptionIEEE Women in Engineering São Paulo State University (UNESP)-
Descrição: dc.descriptionDepartment of Electrical Engineering Universidad Técnica Federico Santa María, Av. Vicuña Mackenna 3939-
Descrição: dc.descriptionDepartment of Electrical Engineering School of Engineering São Paulo State University (UNESP)-
Descrição: dc.descriptionIEEE Women in Engineering São Paulo State University (UNESP)-
Idioma: dc.languageen-
Relação: dc.relationEngineering Proceedings-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectacoutic emission-
Palavras-chave: dc.subjectpartial discharges-
Palavras-chave: dc.subjectpiezoelectric sensors-
Palavras-chave: dc.subjecttime-frequency analysis-
Palavras-chave: dc.subjecttransformers diagnosis-
Título: dc.titleA Comparison between Piezoelectric Sensors Applied to Multiple Partial Discharge Detection by Advanced Signal Processing Analysis †-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.