搜索资源列表
rtcmas_client
- 小波包分析提取振动信号中的特征频率，以及能量谱分析计算-wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis
对轴承故障振动信号的matlab小波分析程序
- 对轴承故障振动信号的matlab小波分析程序，能完成对故障特征频率的提取,Of bearing fault vibration signals matlab wavelet analysis procedures, can finish on the fault characteristic frequency extraction
NEXT
- 随机减量方法，从结构的随机振动响应中提取该结构的自由衰减振动信号-Random decrement method, the structure of the random vibration response of the structure to extract the free vibration signal attenuation
wavepage
- 小波包分析提取振动信号中的分解，系数重构特征频率，以及能量谱分析计算-Wavelet packet analysis to extract the vibration signal decomposition coefficient reconstruction of the characteristic frequency, and calculate the energy spectrum analysis
wavelet
- 小波包分析提取振动信号中的特征频率，以及能量谱分析计算-wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis -Extraction of wavelet packet analysis in the vibration signal characteristic frequency, as well as the calculati
vibrationfilter
- 这个程序可以实现对振动等信号的滤波及特征提取，可以应用于实际。-This program can achieve the vibration signal filtering and feature extraction
NExT
- 一种适用于多自由度的自然激励技术，可以实现从随机响应信号中提取自由振动信号。-A multi-degree of freedom for the natural excitation technique, can extract from the random response signal free vibration signals.
xiaobobao-BPwangluo
- 小波包和BP神经网络在齿轮箱故障诊断中的应用，本文对齿 轮箱振动信号应用小波包分解提取故障特征向量，进一步用特征向量训练前向传播BP人工神经网络。-xiaobobao、BP、gearbox fault detection
Wavelet_DecRec
- matlab小波分析，振动信号处理，瞬态信号提取，故障分析-matlab wavelet analysis, signal processing, vibration, transient signal extraction, failure analysis
rtcmas_client
- 小波包分析提取振动信号中的特征频率，以及能量谱分析计算--wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis
q1
- 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
q2
- 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
q3
- 复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was proposed. The phase of vibrati
q4
- 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
q5
- 利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-By making spectrum analysis of the phase, the sideband structure in power spectrum can be protruded, and the fault pattern can be identified. Experimental results show that the p
HarmonicWaveletAnalysis
- 微弱振动信号的谐波小波频域提取，实现了强噪声下微弱周期振动信号的频域提取。-Harmonic Wavelet Analysis of the weak vibration signal frequency domain to extract, weak periodic vibration signal in the frequency domain to extract the strong noise.
xiaobobaoju
- 小波包能量巨程序（已做归一化处理，用于对振动信号提取特征）-Wavelet packet energy giant program (normalization process has been done for the vibration signal feature extraction)
VMD_test
- 一种分解精度高、模态混叠问题少的VMD特征提取算法，进行振动信号分解,形成初始特征向量矩阵(A VMD feature extraction algorithm with high decomposition accuracy and few modal aliasing problems is used to decompose the vibration signal and form the initial eigenvector matrix.)
振动信号时域频域特征（带测试数据）
- 针对信号的时域特征和频域特征提取，带测试数据，能够运行(According to the time-domain and frequency-domain feature extraction of signals, the system can run with test data.)
基于多信号小波变换分解的特征提取
- 实现对振动信号的小波变换分解的特征提取。(The wavelet transform decomposition of vibration signal is realized to extract its features.)