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。
In this paper, wavelet packet analysis algorithm is used to extract the characteristics of the cooling fan of inverter and a feature table of typical fault is built.
利用小波包分析算法提取某大型变频器风机的故障特征向量，并构建了典型故障特征表。
And then, the real-time structural damage detection technology is studied based on wavelet packet analysis. The method is applied to detect simple-supported beam cracks.
然后研究了基于小波包分析的结构实时损伤检测技术，并以简支梁裂缝为例说明。
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。
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。
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。
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。
Wavelet packet analysis to extract vibration signal characteristic frequency, Use serial programming examples matlab GUI implementation, Since writing the curvature calculation function.
小波包分析提取振动信号中的特征频率，利用matlabGUI实现的串口编程例子，自写曲率计算函数。
According to the collected field data of blasting vibration, the time-frequency characteristic analysis for blasting vibration signals is made by use of the wavelet packet analysis technology.
基于现场实测爆破振动数据，采用小波包分析技术对爆破振动信号进行了时频特征分析。
The theory of wavelet packet is more complex than the analysis of wavelet, but its means of analysis is more flexible, and has more accurate partial analysis ability.
小波包理论比小波分析更为复杂，但其分析手段更为灵活，具有更为精确的局部分析能力。
The characteristic frequency band of the fault can be identified by wavelet packet decomposition and its energy spectrum conveniently, and the quantification analysis are then performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带，并进行了量化分析。
The characteristic frequency band of the fault could be identified by wavelet packet decomposition and its energy spectrum conveniently, at the same time, quantification analysis were performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带，并进行了量化分析。
Based on the introduction of wavelet packet and characteristic entropy, a new method to diagnosis fault for high voltage circuit breakers is presented, and its steps and analysis are also introduced.
在详细介绍小波包与特征熵的基础上，将二者结合提出了一种诊断高压断路器机械故障的新方法，并给出了切实可行的诊断步骤和分析。
This article introduced essential principle of wavelet packet multi-scale analysis and design of experimental equipment of damage checking of intelligent composite materials under vibrating state.
本文介绍了小波包多尺度分析的基本原理，设计了振动状况下智能复合材料板损伤检测的实验装置。
The wavelet packet method characterized by good time-frequency localization can be used to make signal reconstruction and energy analysis of blasting vibration wave.
利用小波分析良好的时频局部化性质，可以很好地对爆破地震波进行信号重构和能量分析。
The wavelet packet method characterized by good time-frequency localization can be used to make signal reconstruction and energy analysis of blasting vibration wave.
利用小波分析良好的时频局部化性质，可以很好地对爆破地震波进行信号重构和能量分析。
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