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...

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Autores principales: Yan, Jiaming, Chen, Caihui, Wu, Zhipeng, Ding, Xiaoxia, Lou, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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