| 改进型人工神经网络在暂态电能质量检测分类中的应用 |
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| 引用本文： | 高军,杨炳玉.改进型人工神经网络在暂态电能质量检测分类中的应用[J].江西科学,2009,27(6):841-844. |
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| 作者姓名： | 高军 杨炳玉 |
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| 作者单位： | 德阳电业局电力调度中心,四川,德阳,618005 |
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| 摘 要： | 电能质量分为稳态和暂态两大类。针对暂态电能质量信号因随机性、持续时间短、非平稳特性而使得信号的识别较为困难的问题，本文提出了一种改进型BP神经网络，对暂态电能质量进行有效的识别和初步分类。通过MATLAB仿真，获得了良好的识别分类效果。
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| 关 键 词： | BP算法 神经网络 电能质量 检测分类 |
Improved Artificial Neural Networks in Detection of Transient Power Quality Classification |
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| GAO Jun,YANG Bing-yu.Improved Artificial Neural Networks in Detection of Transient Power Quality Classification[J].Jiangxi Science,2009,27(6):841-844. |
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| Authors: | GAO Jun YANG Bing-yu |
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| Institution: | (Deyang Power Bureau Power Dispatching Center,Sichuan Deyang 618005 PRC) |
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| Abstract: | The steady-state and transient power quality is divided into two broad categories. For the transient power quality signal because of random, short duration, non-stationary characteristics of the signal makes the identification more difficult problems, this paper presents an improved BP neural network, the transient power quality for effective identification and preliminary classification. Through the MATLAB simulation,to obtain a good recognition classification rate. |
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| Keywords: | BP algorithm Neural network Power quality Detection classification |
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