structural damage recognition 结构损伤识别
Structure Damage Recognition 结构损伤识别
Battle Damage Recognition 毁伤识别
damage pattern recognition 震害识别
damage patterns recognition 自适应概率神经网络
In order to gain reliable signals to the next process of damage recognition, de-noising has become an urgent problem to us.
为了保证所测试振动信号的真实性和可靠性,并且更好进行下一步的损伤识别,去除信号中的噪声成为结构健康监测领域一个迫切需要解决的问题。
参考来源 - 基于ICA和不同附加通道的结构振动信号降噪研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Numerical simulation of Dadu River Bridge damage recognition was done.
并数值模拟了石棉大渡河大桥进行损伤识别研究。
The structural damage recognition is studied with the mode identification method, and the method for drawing the wavelet package signal energy eigenvalue is analyzed.
从模式识别的观点对结构损伤识别进行了分析，分析了小波包信号能量特征提取的方法。
The structural damage recognition has been analyzed with mode identification method and the method for extracting the wavelet package signal energy eigenvalue has been analyzed.
从模式识别的观点对结构损伤识别进行了分析，分析了小波包信号能量特征提取的方法。
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