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The Research of Detective Procession of AE Signal Under High Background Noise Based on Neural Network

机译:基于神经网络的高背景噪声下声发射信号检测处理研究

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This paper present a method to detect AE signal under high backgroudn noise based on artificial Neural Network (ANN). In this method, adaptive filtering technology is applied in AE detecting system in the conditions when SNR is poor, so that the parameters of AE signal are more accurate. Computer simulated BP net is used in this paper to train the dates after A/D conversion in AE detecting system. After training, suse the BP net to cut off noise in signal. The primary computer simulating experiments prove that this method is prectisible.
机译:提出了一种基于人工神经网络的高背景噪声下声发射信号检测方法。该方法在信噪比较差的情况下,在AE检测系统中采用了自适应滤波技术,使AE信号的参数更加准确。本文利用计算机模拟的BP网络对AE检测系统进行A / D转换后的数据进行训练。训练后,使用BP网络隔离信号中的噪声。初步的计算机仿真实验证明了该方法的可行性。

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