基于神经网络自适应谐波检测虚拟仪器的研究与实现  

Study and Implementation of the Harmonics Detector Virtual Instrument Based on Artificial Neural Network Self-adaptive

作　　者：杨捷[1] 赵斌[1] 蒋炜华[1] 

机构地区：[1]河南机电高等专科学校,河南新乡453002

出　　处：《电测与仪表》2009年第2期25-27,69,共4页Electrical Measurement & Instrumentation

基　　金：河南省自然科学基金资助项目(0411015000)

摘　　要：针对电力谐波污染日益严重,引起各种故障和事故不断发生的现状。本文深入研究了基于单个人工神经元的自适应检测原理,建立了利用人工神经网络理论的谐波检测方法,利用虚拟仪器软件开发环境LabVIEW对所接收到的谐波数据加以综合处理,完成谐波检测与分析的功能。该方法响应速度快、检测精度高、自适应能力强、可扩展性强,有一定的参考价值。According to the status of more and more serious power harmonic pollute, which caused a variety of faults and accidents, this paper researches into the self-adaptive detecting principle in depth based on the artificial neural cell. A complete approach for harmonics detection is founded making use of artificial neural network theory. The harmonics data and calculates important parameters are dealt with through using LabVIEW to achieve the function of harmonics detection and analysis. This method has quick response, high detection precision, strong adaptive capacity and some reference value yet.

关 键 词：电力谐波 谐波检测 神经网络 虚拟仪器 LABVIEW 

分 类 号：TM306[电气工程—电机]