搜索资源列表
kurtogram-method
- 关于一篇英文论文中峭度谱分析方法的变成，用于轴承故障诊断中。-A paper on a English kurtosis spectrum into analysis method, used for fault diagnosis of bearing.
MySpectrum1
- 本程序是计算振动信号各种参数的实验程序。 主要功能是计算均值、标准差、方差、偏斜度、峭度、 峰峰值、方根幅值、平均幅值、峰值、 波形指标、峰值指标、脉冲指标、裕度指标。 -matlab index
shujufenxi
- 用以计算离散信号的均值，均方根值，方差，峭度和歪度-The mean value of discrete signal to the RMS value, variance, kurtosis and skewness.
FSWT-and-Spectrum-Kurtosis
- 本文提出一种基于频率切片小波变换和谱峭度的综合算法。首先对轴承端的振动信号时频分析，采用FFT、包络谱、频率切片小波变换对其频域性能进行分析，再求其峭度谱与对应包络谱，结合其时域、频域性能，综合分析轴承故障。-This paper presents a synthesis algorithm based on frequency slice wavelet transform and spectral kurtosis. Firstly, the time-frequency analysis
STATS
- 本程序为描述统计常用变量计算 !调用计算最大值和最小值的冒泡程序，计算平均值，标准差，计偏态、峰态系数的函数等 !可以计算的统计变量包括下列各项： !n : sample size 样本大小 !mean : 平均值 !median : 中位数 !variance： 方差 !SD : 样本标准差 standard deviation !SEM : 样本平均数标准误：standard error of mean !ama
ICA快速算法原理和程序
- FastICA算法是基于非高斯性最大化原则得到的一批处理算法。峭度和负熵都可以作为非高斯性的度量。(Advantages: applicable to any non-gaussian signal, blind separation algorithm with fast convergence speed and easy to use, without the need to choose the learning step, is the most widely used algorit
matlab程序
- 能够从信号中提取时域参数，包括：均值、峰值、均方根值、偏斜度、峭度等。(The time domain parameters can be extracted from the signal, including mean, peak, RMS, skewness, kurtosis, etc.)
Fast-Kurtogram
- 快速谱峭度算法，好用，平时自己用的代码，推荐(An efficient fast Spectral Kurtosis Algorithm)
11robustica
- Zarzoso 提出的一种ICA 方法，这个方法以归一化的峭度作为对照函数。并通过优化的步长来对对照函数进行优化。它使用的是精确线搜索。(Kurtosis-based RobustICA method for deflationary ICA/BSS)
eemdaddKurtosis criterion
- 利用eemd分解信号以及峭度准则筛选最佳分量，并对筛选的分量做包络谱，进而诊断出故障类型。(EEMD is used to decompose the signal and kurtosis criterion to screen the best components, and the envelope spectrum of the selected components is made, and then the fault types are diagnosed.)
time-domain
- 自己用的时域特征提取方式，包含均值，均方根值，歪度，峭度，峰值指标，阈值裕值指标，峭度指标等，然后用RBF做聚类(The method of feature extraction in time domain includes mean value, root mean square value, skewness, kurtosis, peak value index, threshold margin index, kurtosis index, etc. Then RBF is used
labview
- 使用labview采集16通道数据，采集10次，保存成tdms格式，并对所有数据进行频谱分析，有效值和峭度等指标的10次趋势分析，可在趋势图中点击光标查看原始波形(Using LabVIEW to collect 16-channel data, collect 10 times, save them in TDMS format, and analyze 10 times trend of all data, such as spectrum analysis, RMS and kurtosi
轴承特征提取
- matlab代码，轴承特征提取，包括rms、最大幅值、峰值因子、绝对平均值、平均值、峭度、脉冲因子、裕度因子、能量，小波包、经典模态分解等特征(Matlab code, bearing feature extraction, including rms, maximum amplitude, crest factor, absolute mean, mean, kurtosis, pulse factor, margin factor, energy, etc.)
mckd
- 最大相关峭度反褶积，给定滤波器长度和周期T、位移数后可将与周期成分不相符成分默认为噪声成分，具有极强的降噪能力。(Maximum correlation kurtosis deconvolution, given the filter length and period T, displacement number, can default to the non-conforming component of the periodic component as the noise compone
emd
- Emd分解，通过峭度和相关系数选择IMF，进行信号重构，小波分解，小波包分解。(Emd decomposition, selecting IMF by kurtosis and correlation coefficient, signal reconstruction, wavelet decomposition, wavelet packet decomposition.)
优化K值
- 分解信号,能量差值优化K，峭度，样本熵，排列熵(Decomposition of signal, optimization of energy difference value K, kurtosis, sample entropy, permutation entropy)
matlab自然梯度盲源分离
- matlab自然梯度盲源分离，基于批处理的，包括串音指标，迭代信号峭度，源信号峭度，盲信号分离 。
matlab
- 滚动轴承的时域统计特征matlab程序，包括均方根值、方根幅值、峭度等量纲指标(The rolling bearing is diagnosed and the fault features are extracted by using the data of Western storage.)
Autogram
- 源代码用于滚动轴承信号处理，从振动信号中选取共振频带进行分析处理，采用对信号的平方包络谱进行无偏自相关分析，以最大峭度选取共振频带
CEEMD-样本熵
- 用ceemd分解信号IMF分量，用峭度相关原则筛选噪声，用样本熵进行特征提取(18/5000 CEEMD was used to decompose the signal and sample entropy was used to extract the feature)