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research article

Partial Discharge Localization Using Time Reversal: Application to Power Transformers

Karami, Hamidreza  
•
Azadifar, Mohammad
•
Mostajabi, Amirhossein  
Show more
2020
Sensors

In this work, we present a novel technique to locate partial discharge (PD) sources based on the concept of time reversal. The localization of the PD sources is of interest for numerous applications, including the monitoring of power transformers, Gas Insulated Substations, electric motors, super capacitors, or any other device or system that can suffer from PDs. To the best of the authors’ knowledge, this is the first time that the concept of time reversal is applied to localize PD sources. Partial discharges emit both electromagnetic and acoustic waves. The proposed method can be used to localize PD sources using either electromagnetic or acoustic waves. As a proof of concept, we present only the results for the electromagnetic case. The proposed method consists of three general steps: (1) recording of the waves from the PD source(s) via proper sensor(s), (2) the time-reversal and back-propagation of the recorded signal(s) into the medium using numerical simulations, and (3) the localization of focal spots. We demonstrate that, unlike the conventional techniques based on the time difference of arrival, the proposed time reversal method can accurately localize PD sources using only one sensor. As a result, the proposed method is much more cost effective compared to existing techniques. The performance of the proposed method is tested considering practical scenarios in which none of the former developed methods can provide reasonable results. Moreover, the proposed method has the unique advantage of being able to locate multiple simultaneous PD sources and doing so with a single sensor. The efficiency of the method against the variation in the polarization of the PDs, their length, and against environmental noise is also investigated. Finally, the validity of the proposed procedure is tested against experimental observations.

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Type
research article
DOI
10.3390/s20051419
Author(s)
Karami, Hamidreza  
Azadifar, Mohammad
Mostajabi, Amirhossein  
Rubinstein, Marcos
Karami, Hossein
Gharehpetian, Gevork B.
Rachidi, Farhad  
Date Issued

2020

Published in
Sensors
Volume

20

Issue

5

Article Number

1419

Note

This article is licensed under a Creative Commons Attribution 4.0 International License

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-FR  
Available on Infoscience
March 6, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/167090
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