Combination wavelets and artificial intelligent for classification and detection transient overvoltage

S.R. Shah Baki, M. Z. Abdullah, A. F. Abidin
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引用次数: 11

Abstract

This paper describes a new method for classification of transient disturbance via fuzzy logic incorporated with wavelet processing. The transient is one of the major causes of power quality issues that have been experienced by the utility and consumer parties. The ability of a wavelet to detect the transient disturbance is being exposed. Finally, the fuzzy logic MATLAB is being proposed as a classification tool to differentiate between oscillatory and impulsive transient. This paper is an initial step towards auto-detecting the real-time power quality classification in a real time monitoring system.
将小波与人工智能相结合用于暂态过电压的分类与检测
本文提出了一种将模糊逻辑与小波处理相结合的暂态扰动分类新方法。暂态是电力公司和用户所经历的电能质量问题的主要原因之一。小波检测瞬态扰动的能力正在显露出来。最后,提出了模糊逻辑MATLAB作为一种分类工具来区分振荡瞬态和脉冲瞬态。本文是在实时监测系统中实现电能质量实时分类自动检测的第一步。
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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