搜索资源列表
xiaobobianhuanyuyingyong
- 某一直升机齿轮箱上的早期损伤的特征是，在伴随振动信号上产生一个可变周期的非平稳扰动信号。要求按此特征构造一组有物理意义的数据仿真早期故障信号，应用小波变换技术分析故障的特征和发生时刻。-a helicopter gearbox early on the characteristics of the injury, In addition to the vibration signal produced a variable cycle perturbation of non-stationary
harmwave.rar
- 关于小波分析的程序，用于分析振动信号的程序，很好用,Wavelet analysis on the procedures used to analyze the vibration signal of procedures, very good use
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
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
mytest
- 自己写的幅值谱分析的matlab程序，可以应用与机械振动信号分析中。-this is a matlab program that can analylize the amplifier of a wave.
baoyang
- 对振动信号进行频域分析,同时相应的二维图形，从中对应可分析出固有频率-It is for the analysis of vibration signal
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.
Changesincharacteristics
- 针对振动信号的变化特点，提出一种用多重分形谱描述振动信号复杂性的新方法。-Changes in characteristics of the vibration signal, the new method of a multifractal spectrum to describe the complexity of the vibration signal.
NumIntTest
- 加速度振动信号积分为速度振动信号输出，如需要可再一次积分，变换为位移信号-Vibration signal of the acceleration integral transform
0000
- 模拟了一种机械振动信号，然后用软硬阈值方法去噪-Simulation of a mechanical vibration signal, and then hard and soft threshold method denoising
56465456456465waveletpackage
- 基于matlab的小波包分解应用于机械振动信号的故障分析-Used in failure analysis of mechanical vibration signals based on the Matlab wavelet packet decomposition
WEDN
- 小波熵去噪，仿真期刊《基于小波熵的矿用齿轮箱振动信号相关去噪法》-The wavelet entropy denoising simulation journal based the wavelet entropy mine with gearbox vibration signal denoising law "
emdfenjie
- 对采集到的振动信号进行EMD分解，得到一系列频率不同的经验模态函数IMF分量，可以用来滤波和提取原信号的特征。-The collected vibration signals of EMD, get a series of different frequency components of IMF empirical mode function can be used to filter and extract features of the original signal.
Desktop
- EMD是处理非线性、非平稳性信号的有效的新方法，本程序是振动信号EMD分解程序，可以把振动信号分解成多个IMF分量和一个残余量。-EMD is nonlinear, effective new method of non-stationary signals, this program is the vibration signal EMD decomposition process, the vibration signal can be decomposed into multiple co
3971002xiaobo
- 小波变换分析，含有小波源程序和仿真主程序，适用于非平稳冲击振动信号的时频特性分析。(The wavelet transform analysis, which contains the small wave source program and the simulation main program, is suitable for the analysis of the time-frequency characteristic of the nonstationary shock vibra