Detection and Analysis of Partial Discharges in Oil-Immersed Power Transformers Using Low-Cost Acoustic Sensors

Partial Discharge (PD) is one of the symptoms of an electrical insulation problem, and its permanence can lead to the complete deterioration of the electrical insulation in high-voltage equipment such as power transformers. The acoustic emission (AE) method is a well-known technique used to detect a...

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Main Authors: Hamidreza Besharatifard, Saeed Hasanzadeh, Ehsan Heydarian-Forushani, Hassan Haes Alhelou, Pierluigi Siano
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/6/3010
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author Hamidreza Besharatifard
Saeed Hasanzadeh
Ehsan Heydarian-Forushani
Hassan Haes Alhelou
Pierluigi Siano
author_facet Hamidreza Besharatifard
Saeed Hasanzadeh
Ehsan Heydarian-Forushani
Hassan Haes Alhelou
Pierluigi Siano
author_sort Hamidreza Besharatifard
collection DOAJ
description Partial Discharge (PD) is one of the symptoms of an electrical insulation problem, and its permanence can lead to the complete deterioration of the electrical insulation in high-voltage equipment such as power transformers. The acoustic emission (AE) method is a well-known technique used to detect and localize PD activity inside oil-filled transformers. However, the commercially available monitoring systems based on acoustic sensors still have a high cost. This paper analyses the ability of low-cost piezoelectric sensors to identify PDs within oil-filled power transformers. To this end, two types of low-cost piezoelectric sensors were fully investigated using time-domain, frequency-domain, and time-frequency analysis, separately. Thereafter, the effectiveness of these sensors for PD detection and monitoring was studied. A three-phase distribution transformer filled with oil was examined. PDs were produced inside an oil-immersed transformer by applying a high voltage over two copper electrodes, and the AE sensors were coupled to the housing of the transformer. By extracting typical features from the AE signals, the PD signals were differentiated from on-site noise and interference. The AE signals were analyzed using acoustic signal metrics such as peak value, energy criterion, and other statistical parameters. The obtained results indicated that the used low-cost piezoelectric sensors have the capability of PD monitoring within power transformers.
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spelling doaj.art-1726b93abc534ee89e6b7cecb147c5ee2023-11-24T00:22:13ZengMDPI AGApplied Sciences2076-34172022-03-01126301010.3390/app12063010Detection and Analysis of Partial Discharges in Oil-Immersed Power Transformers Using Low-Cost Acoustic SensorsHamidreza Besharatifard0Saeed Hasanzadeh1Ehsan Heydarian-Forushani2Hassan Haes Alhelou3Pierluigi Siano4Department of Electrical and Computer Engineering, Qom University of Technology, Qom 1519-37195, IranDepartment of Electrical and Computer Engineering, Qom University of Technology, Qom 1519-37195, IranDepartment of Electrical and Computer Engineering, Qom University of Technology, Qom 1519-37195, IranDepartment of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering, Tishreen University, Latakia 2230, SyriaDepartment of Management & Innovation Systems, University of Salerno, 84084 Fisciano, ItalyPartial Discharge (PD) is one of the symptoms of an electrical insulation problem, and its permanence can lead to the complete deterioration of the electrical insulation in high-voltage equipment such as power transformers. The acoustic emission (AE) method is a well-known technique used to detect and localize PD activity inside oil-filled transformers. However, the commercially available monitoring systems based on acoustic sensors still have a high cost. This paper analyses the ability of low-cost piezoelectric sensors to identify PDs within oil-filled power transformers. To this end, two types of low-cost piezoelectric sensors were fully investigated using time-domain, frequency-domain, and time-frequency analysis, separately. Thereafter, the effectiveness of these sensors for PD detection and monitoring was studied. A three-phase distribution transformer filled with oil was examined. PDs were produced inside an oil-immersed transformer by applying a high voltage over two copper electrodes, and the AE sensors were coupled to the housing of the transformer. By extracting typical features from the AE signals, the PD signals were differentiated from on-site noise and interference. The AE signals were analyzed using acoustic signal metrics such as peak value, energy criterion, and other statistical parameters. The obtained results indicated that the used low-cost piezoelectric sensors have the capability of PD monitoring within power transformers.https://www.mdpi.com/2076-3417/12/6/3010partial dischargepower transformerspiezoelectric sensorsacoustic signal analysis
spellingShingle Hamidreza Besharatifard
Saeed Hasanzadeh
Ehsan Heydarian-Forushani
Hassan Haes Alhelou
Pierluigi Siano
Detection and Analysis of Partial Discharges in Oil-Immersed Power Transformers Using Low-Cost Acoustic Sensors
Applied Sciences
partial discharge
power transformers
piezoelectric sensors
acoustic signal analysis
title Detection and Analysis of Partial Discharges in Oil-Immersed Power Transformers Using Low-Cost Acoustic Sensors
title_full Detection and Analysis of Partial Discharges in Oil-Immersed Power Transformers Using Low-Cost Acoustic Sensors
title_fullStr Detection and Analysis of Partial Discharges in Oil-Immersed Power Transformers Using Low-Cost Acoustic Sensors
title_full_unstemmed Detection and Analysis of Partial Discharges in Oil-Immersed Power Transformers Using Low-Cost Acoustic Sensors
title_short Detection and Analysis of Partial Discharges in Oil-Immersed Power Transformers Using Low-Cost Acoustic Sensors
title_sort detection and analysis of partial discharges in oil immersed power transformers using low cost acoustic sensors
topic partial discharge
power transformers
piezoelectric sensors
acoustic signal analysis
url https://www.mdpi.com/2076-3417/12/6/3010
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AT ehsanheydarianforushani detectionandanalysisofpartialdischargesinoilimmersedpowertransformersusinglowcostacousticsensors
AT hassanhaesalhelou detectionandanalysisofpartialdischargesinoilimmersedpowertransformersusinglowcostacousticsensors
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