Acoustic Sensor for Partial Discharges with Thermoformed Piezoelectret Technology: Calibration with the Electrical Sensor

Partial discharge (PD) is a localized electrical phenomenon that compromises the insulation of high-voltage equipment and, if left unmonitored, can lead to premature equipment failure. Reliable PD detection is essential for assessing insulation integrity within power systems. However, conventional detection methods are often costly and invasive, posing safety risks due to the required proximity to energized components. The primary objective of this study is to estimate the charge released by PD events, expressed in picocoulombs (pC), using a thermoformed piezoelectric acoustic sensor. To this end, PD signals were generated and analyzed under controlled laboratory conditions, comparing the acoustic measurements with those obtained through a conventional electrical method employing a high-frequency current transformer (HFCT). The analysis revealed a determination coefficient of r = 0.94 between the RMS values of the acoustic signals and the charge values (pC) of the electrical signals. These results confirm the sensor’s high acoustic sensitivity, enabling statistical characterization of PDs and improving high-voltage equipment monitoring. The findings contribute to advancing non-invasive monitoring techniques in electrical engineering, enhancing the accuracy of insulation degradation assessments.

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Publication Details

Journal
IEEE Transactions on Dielectrics and Electrical Insulation
Published
2025-01-01
DOI
https://doi.org/10.1109/tdei.2025.3610473
Primary Topic
High voltage insulation and dielectric phenomena
Type
article
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article

Acoustic Sensor for Partial Discharges with Thermoformed Piezoelectret Technology: Calibration with the Electrical Sensor

Rogério Andrade Flauzino, Hédio Tatizawa, Ruy Alberto Pisani Altafim, Ruy Alberto Corrêa Altafim et al.
IEEE Transactions on Dielectrics and Electrical Insulation
High voltage insulation and dielectric phenomena
article

Acoustic Sensor for Partial Discharges with Thermoformed Piezoelectret Technology: Calibration with the Electrical Sensor

Rogério Andrade Flauzino, Hédio Tatizawa, Ruy Alberto Pisani Altafim, Ruy Alberto Corrêa Altafim, Jéssica Fernandes Alves
article en

Abstract

Partial discharge (PD) is a localized electrical phenomenon that compromises the insulation of high-voltage equipment and, if left unmonitored, can lead to premature equipment failure. Reliable PD detection is essential for assessing insulation integrity within power systems. However, conventional detection methods are often costly and invasive, posing safety risks due to the required proximity to energized components. The primary objective of this study is to estimate the charge released by PD events, expressed in picocoulombs (pC), using a thermoformed piezoelectric acoustic sensor. To this end, PD signals were generated and analyzed under controlled laboratory conditions, comparing the acoustic measurements with those obtained through a conventional electrical method employing a high-frequency current transformer (HFCT). The analysis revealed a determination coefficient of r = 0.94 between the RMS values of the acoustic signals and the charge values (pC) of the electrical signals. These results confirm the sensor’s high acoustic sensitivity, enabling statistical characterization of PDs and improving high-voltage equipment monitoring. The findings contribute to advancing non-invasive monitoring techniques in electrical engineering, enhancing the accuracy of insulation degradation assessments.

IEEE Transactions on Dielectrics and Electrical Insulation
Universidade Federal da Paraíba (BR), Institute of Mathematics and Computer Science (MD)
Openalex Percentile: Top 81%
High voltage insulation and dielectric phenomena
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Acoustic Sensor for Partial Discharges with Thermoformed Piezoelectret Technology: Calibration with the Electrical Sensor — Rogério Andrade Flauzino, Hédio Tatizawa, et al. · IEEE Transactions on Dielectrics and Electrical Insulation (2025) | TGRS Research Map | TGRS