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根据多层包扎 4m3高压氢气储罐的结构特点 ,分析研究了多层包扎 4m3高压氢气储罐声发射信号的特征 ,并采用神经网络技术对信号进行处理分析。
According to the structural characteristics of multi-layer 4m3 high pressure hydrogen storage tank, the characteristics of acoustic emission signal of multi-layer 4m3 high pressure hydrogen storage tank were analyzed and analyzed. The signal was processed and analyzed by using neural network technology.