An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge
Partial discharge (PD) localization is important for monitoring and maintaining high-voltage equipment, which can help to prevent accidents. In this work, an acoustic localization sensor based on microelectromechanical system (MEMS) microphone array is proposed, which can detect and locate the parti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919250/ https://www.ncbi.nlm.nih.gov/pubmed/36772119 http://dx.doi.org/10.3390/s23031077 |
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author | Yan, Jiaming Chen, Caihui Wu, Zhipeng Ding, Xiaoxia Lou, Liang |
author_facet | Yan, Jiaming Chen, Caihui Wu, Zhipeng Ding, Xiaoxia Lou, Liang |
author_sort | Yan, Jiaming |
collection | PubMed |
description | Partial discharge (PD) localization is important for monitoring and maintaining high-voltage equipment, which can help to prevent accidents. In this work, an acoustic localization sensor based on microelectromechanical system (MEMS) microphone array is proposed, which can detect and locate the partial discharge through a beam-forming algorithm. The MEMS microphone array consists of eight commercial MEMS microphones (SPV08A0LR5H-1, Knowles Electronics, IL, USA) with an aperture size of about 0.1 m × 0.1 m, allowing for a small hardware size and low cost. In order to optimize the acoustic performance of the array, a random array topology is designed. The simulation analysis indicates that the designed random topology is superior to several commonly used topologies. In terms of the localization algorithm, a deconvolution method called Fourier-based fast iterative shrinkage thresholding algorithm (FFT-FISTA) is applied. Simulation and experiment results demonstrate that FFT-FISTA used in the proposed acoustic localization sensor has significant advantages over the conventional beam-forming algorithm on spatial resolution and sidelobe suppression. Experimental results also show that the average localization error of the proposed scheme is about 0.04 m, which can meet the demands of practical application. |
format | Online Article Text |
id | pubmed-9919250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99192502023-02-12 An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge Yan, Jiaming Chen, Caihui Wu, Zhipeng Ding, Xiaoxia Lou, Liang Sensors (Basel) Article Partial discharge (PD) localization is important for monitoring and maintaining high-voltage equipment, which can help to prevent accidents. In this work, an acoustic localization sensor based on microelectromechanical system (MEMS) microphone array is proposed, which can detect and locate the partial discharge through a beam-forming algorithm. The MEMS microphone array consists of eight commercial MEMS microphones (SPV08A0LR5H-1, Knowles Electronics, IL, USA) with an aperture size of about 0.1 m × 0.1 m, allowing for a small hardware size and low cost. In order to optimize the acoustic performance of the array, a random array topology is designed. The simulation analysis indicates that the designed random topology is superior to several commonly used topologies. In terms of the localization algorithm, a deconvolution method called Fourier-based fast iterative shrinkage thresholding algorithm (FFT-FISTA) is applied. Simulation and experiment results demonstrate that FFT-FISTA used in the proposed acoustic localization sensor has significant advantages over the conventional beam-forming algorithm on spatial resolution and sidelobe suppression. Experimental results also show that the average localization error of the proposed scheme is about 0.04 m, which can meet the demands of practical application. MDPI 2023-01-17 /pmc/articles/PMC9919250/ /pubmed/36772119 http://dx.doi.org/10.3390/s23031077 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yan, Jiaming Chen, Caihui Wu, Zhipeng Ding, Xiaoxia Lou, Liang An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge |
title | An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge |
title_full | An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge |
title_fullStr | An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge |
title_full_unstemmed | An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge |
title_short | An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge |
title_sort | acoustic localization sensor based on mems microphone array for partial discharge |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919250/ https://www.ncbi.nlm.nih.gov/pubmed/36772119 http://dx.doi.org/10.3390/s23031077 |
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