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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/3/1077 |
| _version_ | 1797623320197201920 |
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| author | Jiaming Yan Caihui Chen Zhipeng Wu Xiaoxia Ding Liang Lou |
| author_facet | Jiaming Yan Caihui Chen Zhipeng Wu Xiaoxia Ding Liang Lou |
| author_sort | Jiaming Yan |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T09:27:06Z |
| format | Article |
| id | doaj.art-482dff22ef2d4b4a81cebe7ba5a8da5a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T09:27:06Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-482dff22ef2d4b4a81cebe7ba5a8da5a2023-11-16T17:55:50ZengMDPI AGSensors1424-82202023-01-01233107710.3390/s23031077An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial DischargeJiaming Yan0Caihui Chen1Zhipeng Wu2Xiaoxia Ding3Liang Lou4School of Microelectronics, Shanghai University, Shanghai 201800, ChinaThe Shanghai Industrial μTechnology Research Institute, Shanghai 201899, ChinaThe Shanghai Industrial μTechnology Research Institute, Shanghai 201899, ChinaSchool of Microelectronics, Shanghai University, Shanghai 201800, ChinaSchool of Microelectronics, Shanghai University, Shanghai 201800, ChinaPartial 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.https://www.mdpi.com/1424-8220/23/3/1077partial dischargeacoustic localization sensormicrophone arraybeam-forming |
| spellingShingle | Jiaming Yan Caihui Chen Zhipeng Wu Xiaoxia Ding Liang Lou An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge Sensors partial discharge acoustic localization sensor microphone array beam-forming |
| 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 | partial discharge acoustic localization sensor microphone array beam-forming |
| url | https://www.mdpi.com/1424-8220/23/3/1077 |
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