应用rbf神经网络建立了汽车车身质心垂直加速度功率谱密度、俯仰角加速度功率谱密度和路面功率谱密度之间的非线性映射模型。
The nonlinear mapping relation among the PSD of vehicle body centroid vertical acceleration, pitching angular acceleration and the road surface were found by RBF neural networks.
实验结果表明，利用加速度反应功率谱密度变化能够准确识别并定位钢桥损伤的位置。
Experimental results show that the steel bridge damages can be detected and located by the changes of acceleration PSD.
利用正弦扫频波激振钢桥，分析其损伤前后加速度反应功率谱密度的变化。
The bridge was actuated by sinusoid sweeping frequency wave, and then the power spectral density differences between the undamaged and damaged bridge were analyzed.
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