【摘要】 研究了基于相对熵的小波包局域判别基算法,构造了以局域判别基空间上的结点能量为元素的特征矢量,并在发动机上进行了实验研究,结果表明,小波包局域判别基结点能量谱具有明显的类别特征,经过压缩,作为分类器的特征输入具有较高的模式识别率。更多还原

【Abstract】 The Wavelet packet Local Discriminant Bases(LDB)algorithm based on relative entropy is studied,and the node-energy on LDB is taken as the feature vector.The vibration experimental results on the engine show that the node-energy spectrum on wavelet packet LDB has obvious classified features.The compressed features can be taken as the input for the high pattern recognition rate.更多还原