An experimental proof of concept of time‐reversal single‐sensor acoustic source localisation: Application to partial discharges

Abstract In this paper, for the first time, an experimental proof of concept for utilising time reversal (TR) in the acoustic regime to localise partial discharge (PD) sources was presented using a single sensor. To achieve this, an experimental setup comprising a water tank, acoustic transducers for signal transmission and reception, and 2D scanners was developed. The performance of the proposed method was evaluated across various scenarios, encompassing different PD source locations and sensor placements, barriers obstructing the line of sight between the receiving sensor and PD sources, varying levels of noise, and different frequency bandwidths for the PD sources. The experimental results demonstrate a near‐zero localisation error in all considered examples. The achieved resolution was approximately half of the minimum wavelength. Furthermore, the acoustic TR method exhibits remarkable precision in source localisation, even when faced with obstacles such as a multi‐layered metallic cylinder and in scenarios lacking a direct line of sight between the sensor and the source. The accuracy of acoustic TR's localisation remained robust in the presence of noise, showcasing resilience at signal‐to‐noise ratio levels as low as −20 dB. Additionally, the performance of the acoustic TR method remained consistent across a broad frequency spectrum, spanning from 60 to 200 kHz.

Authors

Institutions

Publication Details

Journal
High Voltage
Published
2025-03-05
DOI
https://doi.org/10.1049/hve2.70008
Citations
2
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
2.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An experimental proof of concept of time‐reversal single‐sensor acoustic source localisation: Application to partial discharges

Javad Zohrevand, Farhad Rachidi, Marcos Rubinstein, Hamidreza Karami et al.
2 citations
High Voltage
Geophysical Methods and Applications
2.29
article

An experimental proof of concept of time‐reversal single‐sensor acoustic source localisation: Application to partial discharges

Javad Zohrevand, Farhad Rachidi, Marcos Rubinstein, Hamidreza Karami, Zhaoyang Wang, Parsa Khorasani
article en
2 citations

Abstract

Abstract In this paper, for the first time, an experimental proof of concept for utilising time reversal (TR) in the acoustic regime to localise partial discharge (PD) sources was presented using a single sensor. To achieve this, an experimental setup comprising a water tank, acoustic transducers for signal transmission and reception, and 2D scanners was developed. The performance of the proposed method was evaluated across various scenarios, encompassing different PD source locations and sensor placements, barriers obstructing the line of sight between the receiving sensor and PD sources, varying levels of noise, and different frequency bandwidths for the PD sources. The experimental results demonstrate a near‐zero localisation error in all considered examples. The achieved resolution was approximately half of the minimum wavelength. Furthermore, the acoustic TR method exhibits remarkable precision in source localisation, even when faced with obstacles such as a multi‐layered metallic cylinder and in scenarios lacking a direct line of sight between the sensor and the source. The accuracy of acoustic TR's localisation remained robust in the presence of noise, showcasing resilience at signal‐to‐noise ratio levels as low as −20 dB. Additionally, the performance of the acoustic TR method remained consistent across a broad frequency spectrum, spanning from 60 to 200 kHz.

High VoltageVol. 10(2)
Bu-Ali Sina University (IR), HES-SO University of Applied Sciences and Arts Western Switzerland (CH), Imperial College London (GB), École Polytechnique Fédérale de Lausanne (CH), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 14%
Geophysical Methods and Applications
2.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.