2) Wavelet packet decomposition
小波包分解
1.
Whole cycle symptom abstract and fault diagnosis based on the wavelet packet decomposition;
基于小波包分解的整循环征兆提取与故障识别
2.
Iris recognition algorithm based on wavelet packet decomposition;
基于小波包分解的虹膜识别算法
3.
Statistical Analysis of JPEG Images Based on the Wavelet Packet Decomposition;
基于小波包分解的JPEG图像统计特性研究
3) wavelet package decomposition
小波包分解
1.
Signals of cutting force and vibration are measured with multi-sensor and features in frequency domain and time-frequency domain are extracted by using wavelet package decomposition.
利用多传感器对切削力和振动信号进行监测,通过频率变换提取切削力特征量,采用小波包分解技术提取振动信号特征量。
2.
Ways about how to extract features from cutting signal process based on wavelet package decomposition were studied.
研究了基于小波包分解的切削信号特征提取方法,首先将切削信号进行小波包分解,计算信号分解到各频带区间内的能量并对其进行归一化,并将其作为切削信号的特征向量输入到支持向量机回归分析模型。
3.
firstly,bootstrapping analysing of the cutting signal using wavelet package decomposition,then computing the energe in each spectrum section and scaling,now getting the energy distribution chart and transition curve of different section,from the curve we could clearly see that it was really a very good representation of the cutting c.
首先逐次对切削信号进行小波包分解,然后计算各频带区间内的能量并对能量进行归一化处理,于是得到了信号在各区间的能量分布图以及各区间的能量变化曲线,从能量的变化曲线可以很清楚的看到,各区间的能量分布很好地反应了切削颤振过渡的特征。
4) Wavelet packet analysis
小波包分解
1.
Application of wavelet packet analysis and Welch method in power spectrum evaluation of arc sound;
小波包分解Welch平均法在焊接电弧声功率谱估计中的应用
5) Wavelet packets decomposition
小波包分解
1.
In this paper,a new description method of electrochemical noise (EN)using feature vector subbands' energy obtained by wavelet packets decomposition was described.
建立了基于小波包分解的电化学噪声子带能量表征方法 ,测试了高纯铝在含Cl-溶液中不同条件下的电化学噪声 ,分析了所测电化学噪声信号的时域特征、PSD特征及小波包分解子带能量特征 。
2.
The image is compressed efficiently based on the wavelet packets decomposition.
在对图像进行小波包分解的基础上实现图像压缩。
3.
Image was compressed efficiently based on the wavelet packets decomposition.
在对图像进行小波包分解的基础上实现图像压缩 。
6) wavelet packet
小波包分解
1.
The fault characteristics of the aero-engine rotor obtained by the application of wavelet packet technique are was put into the grey prognosis system.
在灰色预测模型的基础上,提出了改进背景值和初始值两种优化形式,对灰色系统进行优化,并应用小波包分解技术提取发动机转子振动信号的故障特征作为灰色预测系统的输入值,实现了对发动机转子的故障预测;通过实验仿真证明,这个优化灰色预测模型预测精度高,误差小,应用于航空发动机转子故障预测是完全可行和有效的。
2.
Based on the wavelet packet method, a dual decomposition algorithm for extracting coherent structures from turbulent wake flows after blunt bodies is presented.
根据湍流相干结构和非相干结构不相关的特性,提出了一种钝体尾流双重小波包分解的新算法,将湍流的运动分解成相干分量和非相干分量。
3.
A method of fault diagnosis for the inertial apparatus based on Wavelet Packet is discussed.
提出了一种基于小波包分解的惯性器件故障检测与诊断方法,该方法利用小波包精确细分的特点,分别对正常系统和故障系统的观测信号进行小波包分解,提取其特征信息,从而实现对惯性器件的故障诊断。
补充资料：外护圈包布、钢圈包布
分子式：
CAS号：
性质：又称外护圈包布、钢圈包布。指包在钢丝圈和三角胶条外面的胶布。当胎圈中只有一个钢丝圈、并且没有三角胶芯时，可以不用此包布。其作用是使钢丝圈和三角胶芯组成一个整体，防止在成型和放置过程中发生位移，便于成型操作。
CAS号：
性质：又称外护圈包布、钢圈包布。指包在钢丝圈和三角胶条外面的胶布。当胎圈中只有一个钢丝圈、并且没有三角胶芯时，可以不用此包布。其作用是使钢丝圈和三角胶芯组成一个整体，防止在成型和放置过程中发生位移，便于成型操作。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条