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利用频率响应分析检测金属氧化物避雷器故障。

Detection of Failures in Metal Oxide Surge Arresters Using Frequency Response Analysis.

机构信息

R&D Department, Gnarus Institute, Itajuba 37500-052, MG, Brazil.

Office of Research and Graduate Studies (PRPPG), Federal University of Itajuba, Itajuba 37500-903, MG, Brazil.

出版信息

Sensors (Basel). 2023 Jun 16;23(12):5633. doi: 10.3390/s23125633.

DOI:10.3390/s23125633
PMID:37420799
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10303026/
Abstract

This work presents an innovative application of Frequency Response Analysis (FRA) in order to detect early degradation of Metal Oxide Surge Arresters (MOSAs). This technique has been widely used in power transformers, but has never been applied to MOSAs. It consists in comparisons of spectra, measured at different instants of the lifetime of the arrester. Differences between these spectra are an indicator that some electrical properties of the arrester have changed. An incremental deterioration test has been performed on arrester samples (with controlled circulation of leakage current, which increases the energy dissipation over the device), and the FRA spectra correctly identified the progression of damage. Although preliminary, the FRA results seemed promising, and it is expected that this technology could be used as another diagnostic tool for arresters.

摘要

本工作提出了一种频率响应分析（FRA）在检测金属氧化物避雷器（MOA）早期劣化方面的创新应用。该技术已广泛应用于电力变压器，但从未应用于 MOA。它包括在避雷器寿命的不同时刻测量的频谱进行比较。这些频谱之间的差异表明避雷器的某些电气特性已经发生了变化。对避雷器样品进行了增量恶化测试（控制泄漏电流循环，增加装置的能量耗散），FRA 频谱正确识别了损坏的进展。尽管初步的，但 FRA 的结果似乎很有希望，预计这项技术可以作为避雷器的另一种诊断工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/940200af20f6/sensors-23-05633-g018.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/fb8f0c467710/sensors-23-05633-g016.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/940200af20f6/sensors-23-05633-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/308fe382e07e/sensors-23-05633-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/c5a4a96697ef/sensors-23-05633-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/aa2531659fc0/sensors-23-05633-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/d5127cd51841/sensors-23-05633-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/5b40f01e29de/sensors-23-05633-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/1bd946521163/sensors-23-05633-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/41cb1acdc5aa/sensors-23-05633-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/ef1dd15fa2df/sensors-23-05633-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/c082f386cb1a/sensors-23-05633-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/3ab3b34f0e00/sensors-23-05633-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/fb8f0c467710/sensors-23-05633-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/f8953acf9314/sensors-23-05633-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9935/10303026/940200af20f6/sensors-23-05633-g018.jpg

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