Investigation of Low-frequency Noise Source Localization Technology for Transformers Using a Vector Microphone

Monitoring and localizing the sources of low-frequency noise are crucial for diagnosing transformer sound faults; however, they present significant challenges. This study explored the capabilities of acoustic vector microphones in localizing noise sources in transformers. First, a signal processing model for acoustic source localization using vector microphones was established. Subsequently, simulation analyses were conducted. Finally, experimental validation of the proposed method was performed. The proposed approach showed promise for providing new acoustic measurement methods for transformer fault diagnosis.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/isstc63573.2024.10824097
Primary Topic
Speech and Audio Processing
Type
article
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article

Investigation of Low-frequency Noise Source Localization Technology for Transformers Using a Vector Microphone

Yi Tian, Yongli Yi, Jingkai Nie, Chu Li et al.
Speech and Audio Processing
article

Investigation of Low-frequency Noise Source Localization Technology for Transformers Using a Vector Microphone

Yi Tian, Yongli Yi, Jingkai Nie, Chu Li, Haihong Chen, Qiang He
article en

Abstract

Monitoring and localizing the sources of low-frequency noise are crucial for diagnosing transformer sound faults; however, they present significant challenges. This study explored the capabilities of acoustic vector microphones in localizing noise sources in transformers. First, a signal processing model for acoustic source localization using vector microphones was established. Subsequently, simulation analyses were conducted. Finally, experimental validation of the proposed method was performed. The proposed approach showed promise for providing new acoustic measurement methods for transformer fault diagnosis.

State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
Speech and Audio Processing
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