光学电流互感器线性双折射效应的补偿研究——神经网络方法

The compensation of optical current transducer's linear birefringent effect based on neural network

线性双折射效应是限制光学电流互感器实用化的关键因素。作者采用人工神经网络来实现光学电流互感器线性双折射效应的补偿。本文介绍了ＢＰ神经网络的基本原理，论述了线性双折射效应的具体补偿方法，结果表明该方法具有精度高和简便实用的特点，从而是行之有效的。

Linear birefringent effect is the primary factor that makes optical current transducer unpractical.The authors realize the compensation of optical current transducer's linear birefringent effect by using artificial neural networks.The paper introduces the principle of BP neural network,analyses the way to compensate and draws a conclusion:the method has high precision and is actually effective.