基于自适应谐振理论的特征频率提取与融合

借鉴自适应谐振理论的一些处理思想,提出了一种特征频率提取、融合和增强算法。通过对频谱向量进行多次归一化处理,并插入非线性阈值函数来抑制小幅度噪声频率,同时用适当的正反馈使特征频率进一步增强,且不同频谱之间的融合也被嵌入到其中,形成一种闭环迭代运算。对空调电机3种振动噪声频谱的处理结果表明,该算法有效抑制了原始频谱中的随机干扰频率,对频谱中有用的成分进行了较大幅度的增强。对于每一种振动噪声,该算法都从多个频谱中准确地获取了一个清晰可靠的特征频谱,效果优于平均谱。

Feature Frequency Extraction and Fusion Based on Adaptive Resonance Theory

An algorithm on feature frequency extraction and fusion,in which some ideas of adaptive resonance theory are referred to,is proposed.In this algorithm,multi-normalization for spectrum vectors is made and a nonlinear threshold function is inserted into this normalization operation to suppress the interference frequencies caused by noises.Simultaneously,some proper positive feedbacks are used to strengthen the feature frequencies,and the fusion computation of different spectrums is also embedded in,all these ...