DAMAGE DETECTION OF THE COMPOSITE MATERIALS BASED ON WAVELET PACKETS
-
摘要: 小波包分解能够精细地把信号划分到不同的频带范围内,实现了不同频带范围内特征信息的分离和提取.据此并借助于小波神经网络实现了复合材料无损检测中的特征信号的模式识别.实验表明该方法稳定可靠.Abstract: An approach to feature extraction and recognition of the characteristic signal in the field of the damage detection of the composite materials is studied by thewavelet packets that disintegrate the signal into different frequency bands.These features are fed into the wavelet neural network as the input patterns for training and classifying.The experiments are conducted to demonstrate the feasibility of the proposed method.
-
Key words:
- wavelet packets /
- wavelet neural network /
- Nature extraction /
- composite materials /
- damage detection
-
点击查看大图
计量
- 文章访问数: 760
- PDF下载量: 428
- 被引次数: 0
下载:
