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 detecting method for the phase drift in excited signals based on wavelet packet analysis is presented. This method can detect the transient phase drift in signals at great level.
提出了一种基于小波包分析的激磁信号相位漂移检测方法，能够以较高的精度检测出相位信号的瞬时漂移。
First the zero sequence transient current signal sampled is enhanced, and then the signal enhanced is decomposed by using wavelet packet analysis to realize faulty line detection.
首先对采样的零序暂态电流信号做增强处理，然后利用小波包分析方法进行故障选线。
The result shows that the filtering algorithm based on wavelet packet analysis can decrease the random error and improve the measuring precision of laser gyro effectively.
结果表明基于小波包分析的滤波方法能有效减小随机误差，提高激光陀螺的测量精度。
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