Development of an Instrument in Transformer Winding Distortion Measurement Based on Artificial Neural Network and S3C2410

Liu Jun, Zhao Xueliang, Feng Jianhua, Wang Lei
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引用次数: 2

Abstract

Taking an instrument in transformer winding distortion measurement as an example, a solution is proposed based on Samsung's S3C2410 processor and embedded Linux operating system Hardware design is introduced, and software design also is described. The application of the artificial neural network technique to the frequency response analysis method (FRA) which is used to detect transformer winding deformation is presented. The system has wide application prospect with the advantages of small volume, low cost, high reliability, etc.
基于人工神经网络和S3C2410的变压器绕组畸变测量仪的研制
以一台变压器绕组畸变测量仪为例,提出了一种基于三星S3C2410处理器和嵌入式Linux操作系统的解决方案,介绍了硬件设计,并对软件设计进行了说明。介绍了人工神经网络技术在频率响应分析方法(FRA)中用于变压器绕组变形检测的应用。该系统具有体积小、成本低、可靠性高等优点,具有广阔的应用前景。
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