摘要
借助小波函数良好的时频带通性，利用Ｂ样条小波级数展开提取信号特征，并使之输入到自适应Ｂ样条小波神经网络进行学习和识别。最后从损伤检测领域中特征信号模式识别的应用角度。
By using good properties of the multi resolution analysis of the wavelet function,the features of the signals are extracted by wavelet series.These features can be input to the adaptive wavelet network for training the network and classifying the faults. Examples are discussed for applying the concepts to damage detection of the composite materials.
出处
《振动工程学报》
EI
CSCD
1998年第1期116-120,共5页
Journal of Vibration Engineering
基金
国家重点实验室基金
关键词
复合材料
损伤检测
特征抽取
小波基
小波神经网络
composite materials
damage detection
feature extration
wavelet series
adaptive neural network
