Enhanced partial discharge de-noising technique using eigen-decomposition

T. Abdel-Galil, A. El-Hag, M. Salama, R. Bartnikas
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引用次数: 2

Abstract

The Rogowski coil method for the measurements and detection of PD signals represents a cost effective and practical way to measure PD signals in electrical power apparatus; however it is subject to excessive noise pick-up because of its inductive nature. This paper discusses the implementation of a de-noising algorithm using eigen-decomposition approach, which can be utilized in order to minimize the extraneous noise encountered with on-line tests in the field. The proposed algorithm possesses the inherent advantage of decomposing the signal space and separates it from the noise subspaces. Results discussed in the paper demonstrate the performance of the proposed technique for both simulated and experimental PD signals
基于特征分解的增强局部放电降噪技术
用于PD信号测量和检测的Rogowski线圈法代表了一种在电力设备中测量PD信号的经济有效且实用的方法;然而,由于它的电感性质,它会受到过多的噪声吸收。本文讨论了一种基于特征分解方法的去噪算法的实现,该算法可用于最小化现场在线测试中遇到的外来噪声。该算法具有分解信号空间并将其与噪声子空间分离的固有优点。文中讨论的结果证明了所提出的技术对模拟和实验PD信号的性能
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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