The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
In addition, creation of digital maps base on MFL signal after preprocessed, clear visual display wall of the overall situation.
同时以预处理后的漏磁信号分析为依据创建位图，清晰直观地显示管壁的整体状况。
The MLR mathematical model that established with orthogonal signal correction plus first derivative and mean centre preprocessed spectra shows the best result for glucose and fructose.
研究结果表明，原始光谱经均值中心化、一阶微分和正交信号校正预处理后，运用多元线性回归法所建葡萄糖和果糖定量分析模型最优。
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