Based on the technology of data fusion, a method is presented to process distributed detection parameters. This method can efficiently improve the precision of measuring result.
介绍一种采用数据融合技术对分布式检测参数进行数据处理的方法，可以有效地提高测量结果的精度。
Based on the reviewing of the method of ultrasonic detection for locomotive axle, the choice of process parameters of ultrasonic detection was analyzed.
在回顾机车车轴超声波探伤方法的基础上，分析了超声波探伤的工艺参数选择。
Using MATLAB6.5 BP neural network toolbox, compiles the structural damage detection process with the input parameters based on the modal parameters of frequency and mode shape.
以MATLAB6.5 BP神经网络工具箱为基础，编写了基于频率平方变化和振型模态分量为输入参数的BP神经网络结构损伤识别程序。
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