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An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge.

Jiaming Yan1, Caihui Chen2, Zhipeng Wu2

  • 1School of Microelectronics, Shanghai University, Shanghai 201800, China.

Sensors (Basel, Switzerland)
|February 11, 2023
PubMed
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This study introduces an acoustic sensor using a microelectromechanical system (MEMS) microphone array for precise partial discharge (PD) localization in high-voltage equipment. The system achieves an average localization error of 0.04 m, enhancing equipment safety.

Area of Science:

  • Electrical Engineering
  • Acoustics
  • Sensor Technology

Background:

  • Partial discharge (PD) is a critical issue in high-voltage equipment, necessitating accurate localization for maintenance and accident prevention.
  • Existing localization methods may lack sufficient spatial resolution or be costly.

Purpose of the Study:

  • To develop and validate a cost-effective acoustic localization sensor for partial discharge detection.
  • To improve the spatial resolution and accuracy of PD source localization.

Main Methods:

  • Utilized a microelectromechanical system (MEMS) microphone array with a random topology for optimized acoustic performance.
  • Implemented a Fourier-based fast iterative shrinkage thresholding algorithm (FFT-FISTA) for signal processing and localization.
  • Compared the FFT-FISTA method with conventional beam-forming algorithms.
Keywords:
acoustic localization sensorbeam-formingmicrophone arraypartial discharge

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Main Results:

  • The random array topology demonstrated superior performance compared to conventional topologies in simulations.
  • FFT-FISTA significantly improved spatial resolution and sidelobe suppression over traditional beam-forming.
  • Experimental validation showed an average localization error of approximately 0.04 m.

Conclusions:

  • The proposed MEMS microphone array acoustic sensor with FFT-FISTA offers a high-performance, low-cost solution for PD localization.
  • The achieved accuracy meets the requirements for practical applications in high-voltage equipment monitoring.