The numeric example showed that the wavelet packet analysis can detect the structural damage effectively。
通过数值算例表明,小波包分析能够有效地识别结构的损伤。
参考来源 - 基于小波包能量理论的在役输电塔结构损伤检测技术研究In order to enhance fault diagnosis precision, the wavelet packet analysis and least squares support vector machine (LSSVM) are combined effectively.
为了提高机械设备故障诊断的精度,将小波包分析与最小二乘支持向量机进行了有机的结合。
参考来源 - 最小二乘支持向量机在故障诊断中的应用 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
A novel pattern recognition method based on wavelet packet analysis and radial basis function network is presented in this paper.
论文给出了改进型径向基网络应用示例，验证了改进型径向基网络的函数实现功能和模式分类功能。
Wavelet packet Analysis is applied to feature extraction of ultrasonic signals, and the support vector machine is employed to perform the identification task.
然后利用支持向量机分类方法对缺陷进行识别。
The essence of wavelet packet analysis is to make further decomposition of wavelet decomposed result, so the analysis will yield much better frequency localization.
小波包分析的实质是对小波分解的结果作进一步细分，因而具有比小波分解高得多的频域分辨能力。
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