Correlation analysis between ceramic insulator pollution and acoustic emissions

TecnoLogicas Pub Date : 2015-01-01 DOI:10.22430/22565337.212
Benjamín Álvarez-Nasrallah, J. Candelo-Becerra, Jose Daniel Soto-Ortiz, Julio Pombo-Acevedo, Omar Díaz-Aparicio
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引用次数: 4

Abstract

Most of the studies related to insulator pollution are normally performed based on individual analysis among leakage current, relative humidity and equivalent salt deposit density (ESDD). This paper presents a correlation analysis between the leakage current and the acoustic emissions measured in a 230 kV electrical substations in the city of Barranquilla, Colombia. Furthermore, atmospheric variables were considered to develop a characterization model of the insulator contamination process. This model was used to demonstrate that noise emission levels are a reliable indicator to detect and characterize pollution on high voltage insulators. The correlation found amount the atmospheric, electrical and sound variables allowed to determine the relations for the maintenance of ceramic insulators in high-polluted areas. In this article, the results on the behavior of the leakage current in ceramic insulators and the sound produced with different atmospheric conditions are shown, which allow evaluating the best time to clean the insulator at the substation. Furthermore, by experimentation on site and using statistical models, the correlation between environmental variables and the leakage current substation was obtained. Some of the problems that bring the external noise were overcome using multiple microphones and specialized software that enabled properly filter the sound and better measure the variables.
陶瓷绝缘体污染与声发射的相关性分析
大多数与绝缘子污染有关的研究通常是基于泄漏电流、相对湿度和等效盐沉积密度(ESDD)的单独分析。本文对哥伦比亚巴兰基利亚市一座230千伏变电站的泄漏电流与声发射进行了相关性分析。此外,考虑大气变量,建立了绝缘子污染过程的表征模型。该模型用于证明噪声排放水平是检测和表征高压绝缘子污染的可靠指标。在高污染地区,大气、电和声音变量的相关性决定了陶瓷绝缘体维护的关系。本文给出了在不同大气条件下陶瓷绝缘子内漏电流的变化规律和产生的声音,从而评价了变电站清洗绝缘子的最佳时机。此外,通过现场试验,利用统计模型,得到了环境变量与变电站泄漏电流的相关关系。使用多个麦克风和专门的软件克服了一些带来外部噪音的问题,这些软件能够正确过滤声音并更好地测量变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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30
审稿时长
28 weeks
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