时延神经网络用于桥梁结构损伤识别

Damage Recognition Using Time-delay Neural Networks

使用振动信号输入的时延神经网络对桥梁进行结构损伤辨识,并用不完全的测量数据进行仿真。结果表明,时延神经网络的辨识算法简单,性能优于传统的神经网络。

In this paper the time-delay neural networks（TDNNs） have been implemented in detecting the damage in bridge structure using vibration signature analysis. A simulation study has been carried out for the incomplete measurement data. It has been observed that TDNNs have performed better than traditional neural networks in this application and the arithmetic of the TDNNs is simple.