According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.
该方法将振动信号小波包分解后的频带能量作为特征向量，输入到由多个支持向量机构成的多故障分类器中进行故障识别和分类。
In this method, the feature factor is identified and extracted through the energy of the jamming object and differences in the undulating property, and then is classified with the help of RBF.
该方法基于干扰和目标能量和起伏特性差异确定提取特征因子，再利用RBF神经网络方法进行分类。
By studying the principle of hearing system in identification of sound signal, a method of feature extraction for passive sonar target based on critical band spectrum energy is proposed.
利用被动声纳目标辐射噪声特征主要集中在低频部分的特点，结合听觉系统识别声音信号的原理，提出了一种被动声纳目标临界频带频谱能量的特征提取方法。
The singal transient feature detection represent method, and a transient energy evaluation method are used based on the reassigned scalogram for the vibration non-stationary feature representation.
提出基于小波尺度图重分配的信号瞬态特征检测方法和瞬时能量估计方法，并应用于轴承在多种轻微故障状况下的振动非平稳特征的检测与表示。
The concept of local energy in time-frequency plane, based on local wave theory, is defined. Then a new feature extraction method based on the local energy in time-frequency plane is given.
在局域波理论的基础上，引入了时频局部能量的概念，进而提出了一种基于时频局部能量的特征提取方法。
Based on the frequency domain feature, energy eigenvector of frequency domain is presented using wavelet packet analysis method, and the way of best tree is used to choose symptom.
分析了用小波包能量分析方法提取故障信号特征向量的方法，并改进算法解决了小波包分解中的混频现象，根据最佳分解树进行了特征选择。
The research proved that OWRK method is reliable to determine the surface free energy and its component, and it reflects the wettability and energy feature of peach leaf surfaces.
说明用owrk法测定桃叶表面自由能及其分量所得结果可靠，可以较好地描述桃叶表面的润湿性能和能量特征。
The research proved that OWRK method is reliable to determine the surface free energy and its component, and it reflects the wettability and energy feature of peach leaf surfaces.
说明用owrk法测定桃叶表面自由能及其分量所得结果可靠，可以较好地描述桃叶表面的润湿性能和能量特征。
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